doc/models/site-conditions-models.ipynb

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    "# Site Condition Models\n",
    "\n",
    "This section describes the implementation of the site condition model in WAVEKit. The site conditions object is one of the components of the wind farm models in WAVEKit. It provides the distribution of wind conditions for the selected project location."
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    "## WAVEKit Implementation\n",
    "\n",
    "WAVEKit contains a generic interface to implement site condition models: `SiteConditionInterface`. All inheriting classes must define the abstract method:\n",
    "- `frequency_table`: Which provides the probability distribution (frequency) of each wind condition. The number of wind conditions can be defined along arbitrarily as many different dimensions as desired by the user but must have at least the wind speed as a dimension."
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    "## Available Models\n",
    "\n",
    "Currently, there are four site condition models available in WAVEKit, namely `UniformWeibullSite`, `MeanWSSite`, `GWASite`, and `TabularSite`."
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    "## UniformWeibullSite\n",
    "\n",
    "This site conditions model defines the wind speed distribution using a two (or three) parameter Weibull distribution.\n",
    "\n",
    "**Notes:**\n",
    "This model does not have any dependency on the wind direction (or other parameters). Only the wind speed is considered."
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    "### Class Attributes\n",
    "\n",
    "The `UniformWeibullSite` class is defined by the following attributes:\n",
    "\n",
    "- `weibull_a`: The scale parameter of the Weibull distribution.\n",
    "- `weibull_k`: The shape parameter of the Weibull distribution.\n",
    "- (Optional) `weibull_loc`: The location parameter of the 3-parameter Weibull distribution. If not specified, this parameter is set to zero and the model falls back to a 2-parameter Weibull distribution.\n",
    "- (Optional) `rho`: The air density at the site. Uses a default value of 1.2 kg/m^3 if nothing is passed.\n"
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      "\n",
      "    Site conditions definition using the same weibull distribution\n",
      "        across all the turbines and wind direction.\n",
      "\n",
      "    Notes\n",
      "    -----\n",
      "    The weibull distribution is define at site level\n",
      "        by the two parameters weibull_a and weibull_k.\n",
      "    User can also set the `loc` parameter to define a\n",
      "        3-parameter weibull distribution.\n",
      "\n",
      "    Attributes\n",
      "    ----------\n",
      "    rho: float\n",
      "        Air density value.\n",
      "    weibull_a: float\n",
      "        Scale parameter of the weibull distribution.\n",
      "    weibull_k: float\n",
      "        Shape parameter of the weibull distribution.\n",
      "    ws_step: float\n",
      "        Wind speed discretization for the frequency table.\n",
      "    \n"
     ]
    }
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   "source": [
    "from wavekit.site_conditions import UniformWeibullSite as obj\n",
    "print(obj.__doc__)"
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   "source": [
    "### Class Demonstration"
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       "       1.42906202e-04, 7.82023640e-05, 4.16918376e-05])</pre></div></div></li><li class='xr-section-item'><input id='section-842f6c13-ab9f-418d-8276-82fe8a365a22' class='xr-section-summary-in' type='checkbox'  checked><label for='section-842f6c13-ab9f-418d-8276-82fe8a365a22' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-b9508ffe-3b83-45a1-9bae-c62a175901d8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9508ffe-3b83-45a1-9bae-c62a175901d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a8a160e-aaaf-4198-bbee-39feb332b49e' class='xr-var-data-in' type='checkbox'><label for='data-3a8a160e-aaaf-4198-bbee-39feb332b49e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d6cb7108-91b0-481a-8ba3-9f3b06e150b2' class='xr-section-summary-in' type='checkbox'  ><label for='section-d6cb7108-91b0-481a-8ba3-9f3b06e150b2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-058c7744-f9ca-40f4-b2a8-40b5903ae584' class='xr-index-data-in' type='checkbox'/><label for='index-058c7744-f9ca-40f4-b2a8-40b5903ae584' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5379782-2336-4e24-ae3c-29f68e8d0c87' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b5379782-2336-4e24-ae3c-29f68e8d0c87' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'freq' (ws: 31)> Size: 248B\n",
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       "       6.92125036e-03, 4.67281650e-03, 3.07228094e-03, 1.96733817e-03,\n",
       "       1.22707326e-03, 7.45528627e-04, 4.41247699e-04, 2.54413979e-04,\n",
       "       1.42906202e-04, 7.82023640e-05, 4.16918376e-05])\n",
       "Coordinates:\n",
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      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from wavekit.site_conditions import UniformWeibullSite\n",
    "\n",
    "\n",
    "site_cond = UniformWeibullSite(weibull_a=10.16, weibull_k=2.1)\n",
    "site_cond.frequency_table()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Mean Wind Speed\n",
    "\n",
    "Given the Weibull distribution parameters, defined as class attributes, compute the value of the mean wind speed using the following formula:\n",
    "\n",
    "$ws_{mean} = loc + \\lambda \\cdot \\Gamma(1 + \\frac{1}{k})$\n",
    "\n",
    "Where:\n",
    "\n",
    "- $ws_{mean}$ is the mean wind speed value in m/s.\n",
    "- $loc$ is the location parameter of the Weibull distribution – which equals zero for the two-parameter distribution.\n",
    "- $\\lambda$ is the scale parameter of the Weibull distribution.\n",
    "- $k$ is the shape parameter of the Weibull distribution.\n",
    "- $\\Gamma$ is the gamma function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(8.998647117466495)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_cond.mean_ws"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wind Speed Range\n",
    "\n",
    "The `ws_range` method returns an array of wind speed values, used to estimate the distribution of wind conditions on site (see [`frequency_table`](#frequency-table))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ws_range'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5990acca-b7b5-41ac-80fc-da904cf641f2' class='xr-array-in' type='checkbox' checked><label for='section-5990acca-b7b5-41ac-80fc-da904cf641f2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 ... 24.0 25.0 26.0 27.0 28.0 29.0 30.0</span></div><div class='xr-array-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.,\n",
       "       13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25.,\n",
       "       26., 27., 28., 29., 30.])</pre></div></div></li><li class='xr-section-item'><input id='section-3b948fc6-9550-4801-8837-e78c3aa91319' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b948fc6-9550-4801-8837-e78c3aa91319' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-37cd6878-2d92-4828-a602-fb72c6ca4571' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37cd6878-2d92-4828-a602-fb72c6ca4571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32dbb4a6-9706-4a16-a3e9-a51dc3e0e340' class='xr-var-data-in' type='checkbox'><label for='data-32dbb4a6-9706-4a16-a3e9-a51dc3e0e340' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c14ab1ff-b224-4d21-8b09-29f34b2dbc60' class='xr-section-summary-in' type='checkbox'  ><label for='section-c14ab1ff-b224-4d21-8b09-29f34b2dbc60' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c4d43d5f-c0f2-4f7b-8405-ea3fc0c00159' class='xr-index-data-in' type='checkbox'/><label for='index-c4d43d5f-c0f2-4f7b-8405-ea3fc0c00159' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3404f098-3b40-4c34-8672-9350197c9cb4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3404f098-3b40-4c34-8672-9350197c9cb4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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       "<xarray.DataArray 'ws_range' (ws: 31)> Size: 248B\n",
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    "site_cond.ws_range"
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   "source": [
    "#### Frequency Table\n",
    "\n",
    "The `frequency_table` method returns an array of probabilities associated with each wind speed bin defined in `ws_range`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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       "       1.42906202e-04, 7.82023640e-05, 4.16918376e-05])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'freq'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4645ae8c-fe7e-4ff5-a252-73de229d087c' class='xr-array-in' type='checkbox' checked><label for='section-4645ae8c-fe7e-4ff5-a252-73de229d087c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.00179 0.01605 0.03342 0.04992 ... 0.0001429 7.82e-05 4.169e-05</span></div><div class='xr-array-data'><pre>array([1.79048684e-03, 1.60502049e-02, 3.34241755e-02, 4.99181542e-02,\n",
       "       6.42394097e-02, 7.54637730e-02, 8.30165932e-02, 8.66853349e-02,\n",
       "       8.66043727e-02, 8.32043597e-02, 7.71328834e-02, 6.91593930e-02,\n",
       "       6.00792366e-02, 5.06301198e-02, 4.14304182e-02, 3.29437472e-02,\n",
       "       2.54692560e-02, 1.91532277e-02, 1.40152964e-02, 9.98200645e-03,\n",
       "       6.92125036e-03, 4.67281650e-03, 3.07228094e-03, 1.96733817e-03,\n",
       "       1.22707326e-03, 7.45528627e-04, 4.41247699e-04, 2.54413979e-04,\n",
       "       1.42906202e-04, 7.82023640e-05, 4.16918376e-05])</pre></div></div></li><li class='xr-section-item'><input id='section-4dce622b-1964-4a1e-8b7b-f06233563e60' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4dce622b-1964-4a1e-8b7b-f06233563e60' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-47d89855-93bc-4856-a2da-8064eb63a1c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47d89855-93bc-4856-a2da-8064eb63a1c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f25b078b-72de-46eb-ab1f-f2385685777d' class='xr-var-data-in' type='checkbox'><label for='data-f25b078b-72de-46eb-ab1f-f2385685777d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fefc56d6-dccb-4218-b4e2-969756b4a957' class='xr-section-summary-in' type='checkbox'  ><label for='section-fefc56d6-dccb-4218-b4e2-969756b4a957' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2bb27c8b-4b1b-4174-b40f-cb3c705ae048' class='xr-index-data-in' type='checkbox'/><label for='index-2bb27c8b-4b1b-4174-b40f-cb3c705ae048' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-515f1c94-3061-4db5-974c-73b6ab9bb2d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-515f1c94-3061-4db5-974c-73b6ab9bb2d4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'freq' (ws: 31)> Size: 248B\n",
       "array([1.79048684e-03, 1.60502049e-02, 3.34241755e-02, 4.99181542e-02,\n",
       "       6.42394097e-02, 7.54637730e-02, 8.30165932e-02, 8.66853349e-02,\n",
       "       8.66043727e-02, 8.32043597e-02, 7.71328834e-02, 6.91593930e-02,\n",
       "       6.00792366e-02, 5.06301198e-02, 4.14304182e-02, 3.29437472e-02,\n",
       "       2.54692560e-02, 1.91532277e-02, 1.40152964e-02, 9.98200645e-03,\n",
       "       6.92125036e-03, 4.67281650e-03, 3.07228094e-03, 1.96733817e-03,\n",
       "       1.22707326e-03, 7.45528627e-04, 4.41247699e-04, 2.54413979e-04,\n",
       "       1.42906202e-04, 7.82023640e-05, 4.16918376e-05])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_cond.frequency_table()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the Wind Speed Distribution\n",
    "\n",
    "The `ws_distribution` method can be used to plot the resulting distribution of wind speed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Wind speed [m/s]', ylabel='Frequency [-]'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wavekit.plot import set_style\n",
    "\n",
    "# Use the package default settings for plot\n",
    "set_style()\n",
    "site_cond.ws_distribution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MeanWSSite\n",
    "\n",
    "This model is a variant of the [`UniformWeibullSite`](#uniformweibullsite) that is defined by the mean wind speed and shape parameters. For a two-parameter Weibull, the expected value of the distribution is linked to the shape ($k$) and scale ($A$) parameters. It is then possible to define the distribution using its mean value, rather than the scale parameter, since the mean value is a more intuitive variable.\n",
    "\n",
    "**Notes:**\n",
    "- This model does not have any dependency on the wind direction (or other parameters). Only the wind speed is considered.\n",
    "- This is only implemented for two-parameter Weibull. It is not possible to define a location parameter for this model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Class Attributes\n",
    "\n",
    "The class is defined by the following attributes:\n",
    "\n",
    "- `mean_ws`: The mean or expected value of the distribution.\n",
    "- `weibull_k`: The shape parameter of the Weibull distribution.\n",
    "- (Optional) `rho`: The air density at the site. Uses a default value of 1.2 kg/m^3 if nothing is passed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    Site conditions definition using the same weibull distribution\n",
      "        across all the turbines and wind direction, where the distribution\n",
      "        is defined by the mean wind speed and shape parameter.\n",
      "\n",
      "    Notes\n",
      "    -----\n",
      "    The weibull distribution is define at site level\n",
      "        by the two parameters weibull_a and weibull_k.\n",
      "\n",
      "    Attributes\n",
      "    ----------\n",
      "    rho: float\n",
      "        Air density value.\n",
      "    mean_ws: float\n",
      "        Expected (or mean) wind speed value.\n",
      "    weibull_k: float\n",
      "        Shape parameter of the weibull distribution.\n",
      "    ws_step: float\n",
      "        Wind speed discretization for the frequency table.\n",
      "    \n"
     ]
    }
   ],
   "source": [
    "from wavekit.site_conditions import MeanWSSite as obj\n",
    "print(obj.__doc__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Class Demonstration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;freq&#x27; (ws: 31)&gt; Size: 248B\n",
       "array([1.78992218e-03, 1.60451887e-02, 3.34139966e-02, 4.99036485e-02,\n",
       "       6.42220375e-02, 7.54453699e-02, 8.29990970e-02, 8.66705142e-02,\n",
       "       8.65935981e-02, 8.31984537e-02, 7.71320657e-02, 6.91633217e-02,\n",
       "       6.00871255e-02, 5.06409025e-02, 4.14429239e-02, 3.29568589e-02,\n",
       "       2.54820283e-02, 1.91649559e-02, 1.40255362e-02, 9.99055460e-03,\n",
       "       6.92809970e-03, 4.67809873e-03, 3.07620982e-03, 1.97016099e-03,\n",
       "       1.22903479e-03, 7.46848170e-04, 4.42107728e-04, 2.54957407e-04,\n",
       "       1.43239277e-04, 7.84004732e-05, 4.18062286e-05])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'freq'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8e5ae85b-e7a1-472a-ac25-0eedccad37fc' class='xr-array-in' type='checkbox' checked><label for='section-8e5ae85b-e7a1-472a-ac25-0eedccad37fc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.00179 0.01605 0.03341 0.0499 ... 0.0001432 7.84e-05 4.181e-05</span></div><div class='xr-array-data'><pre>array([1.78992218e-03, 1.60451887e-02, 3.34139966e-02, 4.99036485e-02,\n",
       "       6.42220375e-02, 7.54453699e-02, 8.29990970e-02, 8.66705142e-02,\n",
       "       8.65935981e-02, 8.31984537e-02, 7.71320657e-02, 6.91633217e-02,\n",
       "       6.00871255e-02, 5.06409025e-02, 4.14429239e-02, 3.29568589e-02,\n",
       "       2.54820283e-02, 1.91649559e-02, 1.40255362e-02, 9.99055460e-03,\n",
       "       6.92809970e-03, 4.67809873e-03, 3.07620982e-03, 1.97016099e-03,\n",
       "       1.22903479e-03, 7.46848170e-04, 4.42107728e-04, 2.54957407e-04,\n",
       "       1.43239277e-04, 7.84004732e-05, 4.18062286e-05])</pre></div></div></li><li class='xr-section-item'><input id='section-90df5a42-306f-44fb-b332-1320f7ab4fee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90df5a42-306f-44fb-b332-1320f7ab4fee' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-78e1b3cf-2155-46cf-ac23-ff015145a21e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78e1b3cf-2155-46cf-ac23-ff015145a21e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c63ff6f9-00b6-4fdc-9441-a0e4d715833b' class='xr-var-data-in' type='checkbox'><label for='data-c63ff6f9-00b6-4fdc-9441-a0e4d715833b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7166679-fbf2-4f12-9652-912c29629952' class='xr-section-summary-in' type='checkbox'  ><label for='section-a7166679-fbf2-4f12-9652-912c29629952' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-03a222ea-0493-4ce3-a151-044a75f24ae1' class='xr-index-data-in' type='checkbox'/><label for='index-03a222ea-0493-4ce3-a151-044a75f24ae1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c5c93691-aef1-4ad8-92fe-51f543b4c409' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c5c93691-aef1-4ad8-92fe-51f543b4c409' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'freq' (ws: 31)> Size: 248B\n",
       "array([1.78992218e-03, 1.60451887e-02, 3.34139966e-02, 4.99036485e-02,\n",
       "       6.42220375e-02, 7.54453699e-02, 8.29990970e-02, 8.66705142e-02,\n",
       "       8.65935981e-02, 8.31984537e-02, 7.71320657e-02, 6.91633217e-02,\n",
       "       6.00871255e-02, 5.06409025e-02, 4.14429239e-02, 3.29568589e-02,\n",
       "       2.54820283e-02, 1.91649559e-02, 1.40255362e-02, 9.99055460e-03,\n",
       "       6.92809970e-03, 4.67809873e-03, 3.07620982e-03, 1.97016099e-03,\n",
       "       1.22903479e-03, 7.46848170e-04, 4.42107728e-04, 2.54957407e-04,\n",
       "       1.43239277e-04, 7.84004732e-05, 4.18062286e-05])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from wavekit.site_conditions import MeanWSSite\n",
    "\n",
    "\n",
    "site_cond = MeanWSSite(mean_ws=9., weibull_k=2.1)\n",
    "site_cond.frequency_table()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wind Speed Range\n",
    "\n",
    "The `ws_range` method returns an array of wind speed values, used to estimate the distribution of wind conditions on site (see [`frequency_table`](#frequency-table))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.,\n",
       "       13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25.,\n",
       "       26., 27., 28., 29., 30.])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ws_range'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b6cd83d6-72c2-4791-b685-b88c846d3406' class='xr-array-in' type='checkbox' checked><label for='section-b6cd83d6-72c2-4791-b685-b88c846d3406' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 ... 24.0 25.0 26.0 27.0 28.0 29.0 30.0</span></div><div class='xr-array-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.,\n",
       "       13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25.,\n",
       "       26., 27., 28., 29., 30.])</pre></div></div></li><li class='xr-section-item'><input id='section-f25f490c-d0fe-44f9-97a2-3d0ac645218b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f25f490c-d0fe-44f9-97a2-3d0ac645218b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-76a0d114-53be-4542-9d0f-a97a209fa632' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76a0d114-53be-4542-9d0f-a97a209fa632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1049e2c1-096a-429d-a622-b8a63f3351e5' class='xr-var-data-in' type='checkbox'><label for='data-1049e2c1-096a-429d-a622-b8a63f3351e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b43433b-9c13-48c0-ba5f-89d18b707191' class='xr-section-summary-in' type='checkbox'  ><label for='section-7b43433b-9c13-48c0-ba5f-89d18b707191' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0dfa5517-c0d2-4595-9caf-29e0df14a26f' class='xr-index-data-in' type='checkbox'/><label for='index-0dfa5517-c0d2-4595-9caf-29e0df14a26f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fae4ad3d-c0f8-485a-bbbf-4c3a20b45a1f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fae4ad3d-c0f8-485a-bbbf-4c3a20b45a1f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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       "<xarray.DataArray 'ws_range' (ws: 31)> Size: 248B\n",
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    "site_cond.ws_range"
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   "source": [
    "#### Frequency Table\n",
    "\n",
    "The `frequency_table` method returns an array of probabilities associated with each wind speed bin defined in `ws_range`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
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       "\n",
       ".xr-attrs dt,\n",
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       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
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       "  stroke: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;freq&#x27; (ws: 31)&gt; Size: 248B\n",
       "array([1.78992218e-03, 1.60451887e-02, 3.34139966e-02, 4.99036485e-02,\n",
       "       6.42220375e-02, 7.54453699e-02, 8.29990970e-02, 8.66705142e-02,\n",
       "       8.65935981e-02, 8.31984537e-02, 7.71320657e-02, 6.91633217e-02,\n",
       "       6.00871255e-02, 5.06409025e-02, 4.14429239e-02, 3.29568589e-02,\n",
       "       2.54820283e-02, 1.91649559e-02, 1.40255362e-02, 9.99055460e-03,\n",
       "       6.92809970e-03, 4.67809873e-03, 3.07620982e-03, 1.97016099e-03,\n",
       "       1.22903479e-03, 7.46848170e-04, 4.42107728e-04, 2.54957407e-04,\n",
       "       1.43239277e-04, 7.84004732e-05, 4.18062286e-05])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'freq'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-480111d3-41f3-48d2-ab5f-5c5c6d6e493a' class='xr-array-in' type='checkbox' checked><label for='section-480111d3-41f3-48d2-ab5f-5c5c6d6e493a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.00179 0.01605 0.03341 0.0499 ... 0.0001432 7.84e-05 4.181e-05</span></div><div class='xr-array-data'><pre>array([1.78992218e-03, 1.60451887e-02, 3.34139966e-02, 4.99036485e-02,\n",
       "       6.42220375e-02, 7.54453699e-02, 8.29990970e-02, 8.66705142e-02,\n",
       "       8.65935981e-02, 8.31984537e-02, 7.71320657e-02, 6.91633217e-02,\n",
       "       6.00871255e-02, 5.06409025e-02, 4.14429239e-02, 3.29568589e-02,\n",
       "       2.54820283e-02, 1.91649559e-02, 1.40255362e-02, 9.99055460e-03,\n",
       "       6.92809970e-03, 4.67809873e-03, 3.07620982e-03, 1.97016099e-03,\n",
       "       1.22903479e-03, 7.46848170e-04, 4.42107728e-04, 2.54957407e-04,\n",
       "       1.43239277e-04, 7.84004732e-05, 4.18062286e-05])</pre></div></div></li><li class='xr-section-item'><input id='section-9fbfe105-2320-4a16-b3e5-c3c58dfbdb84' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9fbfe105-2320-4a16-b3e5-c3c58dfbdb84' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-eab85578-1f73-461f-9ac6-af37da22ed61' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eab85578-1f73-461f-9ac6-af37da22ed61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba776c82-2b0b-4638-a5a5-0a0dd00c2503' class='xr-var-data-in' type='checkbox'><label for='data-ba776c82-2b0b-4638-a5a5-0a0dd00c2503' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e60e899-6c02-4cc2-8f98-f8612bcbaa1b' class='xr-section-summary-in' type='checkbox'  ><label for='section-4e60e899-6c02-4cc2-8f98-f8612bcbaa1b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-183b256f-244e-4dd0-b7a3-4b6ba91cd913' class='xr-index-data-in' type='checkbox'/><label for='index-183b256f-244e-4dd0-b7a3-4b6ba91cd913' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9914c3da-27e5-4c1d-b91f-5a1f9f31d661' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9914c3da-27e5-4c1d-b91f-5a1f9f31d661' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'freq' (ws: 31)> Size: 248B\n",
       "array([1.78992218e-03, 1.60451887e-02, 3.34139966e-02, 4.99036485e-02,\n",
       "       6.42220375e-02, 7.54453699e-02, 8.29990970e-02, 8.66705142e-02,\n",
       "       8.65935981e-02, 8.31984537e-02, 7.71320657e-02, 6.91633217e-02,\n",
       "       6.00871255e-02, 5.06409025e-02, 4.14429239e-02, 3.29568589e-02,\n",
       "       2.54820283e-02, 1.91649559e-02, 1.40255362e-02, 9.99055460e-03,\n",
       "       6.92809970e-03, 4.67809873e-03, 3.07620982e-03, 1.97016099e-03,\n",
       "       1.22903479e-03, 7.46848170e-04, 4.42107728e-04, 2.54957407e-04,\n",
       "       1.43239277e-04, 7.84004732e-05, 4.18062286e-05])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_cond.frequency_table()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the Wind Speed Distribution\n",
    "\n",
    "The `ws_distribution` method can be used to plot the resulting distribution of wind speed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Wind speed [m/s]', ylabel='Frequency [-]'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wavekit.plot import set_style\n",
    "\n",
    "# Use the package default settings for plot\n",
    "set_style()\n",
    "site_cond.ws_distribution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `GWASite`\n",
    "\n",
    "A site condition model that defines the wind conditions using the site coordinates (lat, lon) and pulls the corresponding wind condition from the Global Wind Atlas [Global Wind Atlas](https://globalwindatlas.info/en)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Class Attributes\n",
    "\n",
    "The class is defined by the following attributes:\n",
    "\n",
    "- `lat`: The latitude coordinate of the wind farm.\n",
    "- `lon`: The longitude coordinate of the wind farm.\n",
    "- `height`: The reference height to use for the wind condition (default is 100m).\n",
    "- `roughness`: The reference roughness to use for the wind condition (default is 0.1).\n",
    "- (Optional) `rho`: The air density at the site. Uses a default value of 1.2 kg/m^3 if nothing is passed.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    Class to handle site conditions defined by its coordinate and pulling\n",
      "        the corresponding weibull and wind rose data from the Global Wind Atlas (GWA).\n",
      "\n",
      "    Notes:\n",
      "    ------\n",
      "        https://globalwindatlas.info/en\n",
      "\n",
      "    Attributes\n",
      "    ----------\n",
      "    lat: float\n",
      "        Latitude coordinate of the wind farm.\n",
      "    lon: float\n",
      "        Longitude coordinate of the wind farm\n",
      "    ds: xr.Dataset\n",
      "        Dataset of site conditions.\n",
      "    rho: float\n",
      "        Air density value.\n",
      "    height: float\n",
      "        Target height at which slice the dataset.\n",
      "    roughness: float\n",
      "        Target roughness at which slice the dataset.\n",
      "    ws_step: float\n",
      "        Wind speed step discretization for the frequency table.\n",
      "    \n"
     ]
    }
   ],
   "source": [
    "from wavekit.site_conditions import GWASite as obj\n",
    "print(obj.__doc__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Class Demonstration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wavekit.site_conditions import GWASite\n",
    "\n",
    "\n",
    "site_cond = GWASite(lat=55.529722, lon=7.906111)  # Hornsrev site"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Initialize the Wind Conditions\n",
    "\n",
    "The `initialize` method is used to pull the wind condition data from the Global Wind Atlas. Running this method requires an active internet connection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "12:02:15 INFO:GWAQueryHandler: Query data to GWA for (lat:55.53, lon:7.91).\n",
      "12:02:21 INFO:GWAQueryHandler: Retrieve data.\n",
      "12:02:23 INFO:GWAQueryHandler: Data sucessfully downloaded.\n",
      "12:02:23 INFO:GWAQueryHandler: Convert to xarray.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GWASite(rho=1.2, lat=55.529722, lon=7.906111, height=100.0, roughness=0.1, ws_step=1.0)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The query of the data display messages in the logger.\n",
    "import logging\n",
    "\n",
    "\n",
    "logger = logging.getLogger()\n",
    "logging.basicConfig(\n",
    "    format='%(asctime)s %(levelname)s:%(message)s',\n",
    "    level=logging.INFO,\n",
    "    datefmt='%I:%M:%S'\n",
    ")\n",
    "\n",
    "site_cond.initialize()  # Pull the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the Data from GWA\n",
    "\n",
    "The method `sliced_ds` returns an array containing the data from the GWA. The object contains the frequency of each 30° wind sector and the Weibull parameters (shape and scale) for the wind speed distribution in each sector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-section-details {\n",
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       ".xr-array-wrap {\n",
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       "  grid-column: 1;\n",
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       "\n",
       ".xr-preview {\n",
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       "\n",
       ".xr-array-preview,\n",
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       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
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       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
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       "  display: inline-block;\n",
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       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
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       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-index-preview {\n",
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       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 480B\n",
       "Dimensions:  (wd: 12)\n",
       "Coordinates:\n",
       "  * wd       (wd) float64 96B 0.0 30.0 60.0 90.0 ... 240.0 270.0 300.0 330.0\n",
       "Data variables:\n",
       "    weib_a   (wd) float64 96B 6.89 6.94 8.52 9.58 9.32 ... 9.92 9.78 9.48 8.02\n",
       "    weib_k   (wd) float64 96B 2.459 2.514 3.018 3.033 ... 2.334 2.479 1.967\n",
       "    freq     (wd) float64 96B 0.0353 0.0285 0.05829 ... 0.1177 0.1259 0.05999\n",
       "    mean_ws  (wd) float64 96B 6.111 6.158 7.61 8.559 ... 8.8 8.666 8.41 7.11\n",
       "Attributes:\n",
       "    version:  Global Wind Atlas 3.0 (WRF 3-km)\n",
       "    lat:      55.528\n",
       "    lon:      7.917</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e2fb4ce3-d3b6-4c8d-9a90-ee4c3023e8fb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e2fb4ce3-d3b6-4c8d-9a90-ee4c3023e8fb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>wd</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-05cd5684-a1a4-462b-b583-b4ae53298442' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05cd5684-a1a4-462b-b583-b4ae53298442' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 60.0 ... 270.0 300.0 330.0</div><input id='attrs-fb5e76b3-d658-4b7f-b787-becd110d81f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb5e76b3-d658-4b7f-b787-becd110d81f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf5b8608-740d-4e50-a957-fe320671ab4e' class='xr-var-data-in' type='checkbox'><label for='data-cf5b8608-740d-4e50-a957-fe320671ab4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.,  30.,  60.,  90., 120., 150., 180., 210., 240., 270., 300., 330.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0f96762-c2bf-490e-9d73-fbb61de431da' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0f96762-c2bf-490e-9d73-fbb61de431da' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>weib_a</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.89 6.94 8.52 ... 9.78 9.48 8.02</div><input id='attrs-9a60e9b7-e153-4251-ae14-6d468e38aa7c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a60e9b7-e153-4251-ae14-6d468e38aa7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6f33b97-532d-4f4f-b090-d4e906c7e4f7' class='xr-var-data-in' type='checkbox'><label for='data-a6f33b97-532d-4f4f-b090-d4e906c7e4f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 6.89,  6.94,  8.52,  9.58,  9.32,  9.  ,  9.55, 10.17,  9.92,\n",
       "        9.78,  9.48,  8.02])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>weib_k</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.459 2.514 3.018 ... 2.479 1.967</div><input id='attrs-8a558441-a76e-4d74-ab67-07168355c94a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a558441-a76e-4d74-ab67-07168355c94a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffac44f6-7221-4246-b852-d533f6c0a8e1' class='xr-var-data-in' type='checkbox'><label for='data-ffac44f6-7221-4246-b852-d533f6c0a8e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2.459, 2.514, 3.018, 3.033, 2.455, 2.432, 2.314, 2.354, 2.475,\n",
       "       2.334, 2.479, 1.967])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>freq</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0353 0.0285 ... 0.1259 0.05999</div><input id='attrs-b5274392-c8b1-4ede-b8f3-f3df22b84691' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5274392-c8b1-4ede-b8f3-f3df22b84691' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b9c1aa4-d1c6-4771-be8b-b2eeb9cfa08b' class='xr-var-data-in' type='checkbox'><label for='data-3b9c1aa4-d1c6-4771-be8b-b2eeb9cfa08b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.03529647, 0.02849715, 0.05829417, 0.09539046, 0.06779322,\n",
       "       0.06319368, 0.08369163, 0.13178682, 0.13248675, 0.11768823,\n",
       "       0.12588741, 0.059994  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_ws</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.111 6.158 7.61 ... 8.41 7.11</div><input id='attrs-886d53a9-74d8-4161-bcb7-3242338fffbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-886d53a9-74d8-4161-bcb7-3242338fffbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe318e93-39d7-4809-8d3b-625dbfe0b799' class='xr-var-data-in' type='checkbox'><label for='data-fe318e93-39d7-4809-8d3b-625dbfe0b799' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([6.11088453, 6.15846859, 7.61019928, 8.55890294, 8.26580512,\n",
       "       7.98040391, 8.46109995, 9.0125628 , 8.79954792, 8.66586225,\n",
       "       8.40956108, 7.1099491 ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8520428a-5fe6-4019-bac3-b6fe4eedfac6' class='xr-section-summary-in' type='checkbox'  ><label for='section-8520428a-5fe6-4019-bac3-b6fe4eedfac6' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>wd</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5e15cc23-0a10-467f-af0d-966fce0015c2' class='xr-index-data-in' type='checkbox'/><label for='index-5e15cc23-0a10-467f-af0d-966fce0015c2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.0, 30.0, 60.0, 90.0, 120.0, 150.0, 180.0, 210.0, 240.0, 270.0, 300.0,\n",
       "       330.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;wd&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5ec20f46-ec0f-4df9-b6f2-342f25da5a3c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ec20f46-ec0f-4df9-b6f2-342f25da5a3c' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>version :</span></dt><dd>Global Wind Atlas 3.0 (WRF 3-km)</dd><dt><span>lat :</span></dt><dd>55.528</dd><dt><span>lon :</span></dt><dd>7.917</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 480B\n",
       "Dimensions:  (wd: 12)\n",
       "Coordinates:\n",
       "  * wd       (wd) float64 96B 0.0 30.0 60.0 90.0 ... 240.0 270.0 300.0 330.0\n",
       "Data variables:\n",
       "    weib_a   (wd) float64 96B 6.89 6.94 8.52 9.58 9.32 ... 9.92 9.78 9.48 8.02\n",
       "    weib_k   (wd) float64 96B 2.459 2.514 3.018 3.033 ... 2.334 2.479 1.967\n",
       "    freq     (wd) float64 96B 0.0353 0.0285 0.05829 ... 0.1177 0.1259 0.05999\n",
       "    mean_ws  (wd) float64 96B 6.111 6.158 7.61 8.559 ... 8.8 8.666 8.41 7.11\n",
       "Attributes:\n",
       "    version:  Global Wind Atlas 3.0 (WRF 3-km)\n",
       "    lat:      55.528\n",
       "    lon:      7.917"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_cond.sliced_ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wind Speed Range\n",
    "\n",
    "The `ws_range` method returns an array of wind speed values, used to estimate the distribution of wind conditions on site (see [`frequency_table`](#frequency-table))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ws_range'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b5aed844-4b6d-4a10-9a92-ef041af1e49e' class='xr-array-in' type='checkbox' checked><label for='section-b5aed844-4b6d-4a10-9a92-ef041af1e49e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 ... 24.0 25.0 26.0 27.0 28.0 29.0 30.0</span></div><div class='xr-array-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.,\n",
       "       13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25.,\n",
       "       26., 27., 28., 29., 30.])</pre></div></div></li><li class='xr-section-item'><input id='section-ed17a119-235f-4cfd-b90f-60fadc739e16' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ed17a119-235f-4cfd-b90f-60fadc739e16' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-c9cc9f30-8d60-4fd6-9ee5-f20f2ae7fd29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9cc9f30-8d60-4fd6-9ee5-f20f2ae7fd29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ce120bf-bc61-4d1e-a66e-cfa306756c1f' class='xr-var-data-in' type='checkbox'><label for='data-4ce120bf-bc61-4d1e-a66e-cfa306756c1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a78147ec-09de-4118-b495-6b0153391506' class='xr-section-summary-in' type='checkbox'  ><label for='section-a78147ec-09de-4118-b495-6b0153391506' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c5ba415d-9e09-41ad-826e-0ba8d10804d9' class='xr-index-data-in' type='checkbox'/><label for='index-c5ba415d-9e09-41ad-826e-0ba8d10804d9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b712ec95-62a7-4837-85f6-44bf72563e4c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b712ec95-62a7-4837-85f6-44bf72563e4c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
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       "<xarray.DataArray 'ws_range' (ws: 31)> Size: 248B\n",
       "array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.,\n",
       "       13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25.,\n",
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      ]
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   "source": [
    "site_cond.ws_range"
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   "metadata": {},
   "source": [
    "#### Frequency Table\n",
    "\n",
    "The `frequency_table` method returns an array of probabilities associated with each wind speed bin defined in `ws_range`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
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       "        5.38183296e-03, 5.44596587e-03, 5.66941433e-03, 4.90280254e-03],\n",
       "       [4.36220547e-03, 3.47469833e-03, 4.05711330e-03, 4.77650526e-03,\n",
       "        4.59425773e-03, 4.64324712e-03, 5.64481806e-03, 7.70492509e-03,\n",
       "        7.78239029e-03, 7.51493934e-03, 8.15620839e-03, 5.80304914e-03],\n",
       "       [4.98362663e-03, 4.03259529e-03, 5.75392498e-03, 7.00248435e-03,\n",
       "        5.79658517e-03, 5.77756737e-03, 6.91231504e-03, 9.64703866e-03,\n",
       "        9.99725886e-03, 9.29322020e-03, 1.03913630e-02, 6.26085850e-03],\n",
       "       [5.03007583e-03, 4.11940165e-03, 7.16576136e-03, 9.13891339e-03,\n",
       "        6.68463420e-03, 6.56134226e-03, 7.80937685e-03, 1.11619816e-02,\n",
       "...\n",
       "        2.73417153e-06, 1.38912049e-06, 1.51068973e-05, 5.23816541e-05,\n",
       "        1.69713257e-05, 2.80343799e-05, 6.11631417e-06, 7.66532696e-06],\n",
       "       [4.71551901e-12, 1.16876545e-12, 1.66280006e-12, 2.73580287e-09,\n",
       "        9.95734038e-07, 4.76767655e-07, 6.93219153e-06, 2.59237603e-05,\n",
       "        7.02338531e-06, 1.31746735e-05, 2.25180906e-06, 3.87969454e-06],\n",
       "       [4.60529003e-13, 9.50506214e-14, 7.49452162e-14, 3.01481390e-10,\n",
       "        3.39358881e-07, 1.52773109e-07, 3.03497345e-06, 1.22731300e-05,\n",
       "        2.73850642e-06, 5.91027529e-06, 7.75437781e-07, 1.90567692e-06],\n",
       "       [3.91203363e-14, 6.61238221e-15, 2.60819707e-15, 2.75338204e-11,\n",
       "        1.08131306e-07, 4.56609307e-08, 1.26723270e-06, 5.55606025e-06,\n",
       "        1.00514783e-06, 2.52994696e-06, 2.49508293e-07, 9.08557800e-07],\n",
       "       [2.88415982e-15, 3.92313586e-16, 7.11914834e-17, 2.06929284e-12,\n",
       "        3.21810410e-08, 1.27170705e-08, 5.04431029e-07, 2.40406984e-06,\n",
       "        3.46983030e-07, 1.03291991e-06, 7.49370573e-08, 4.20501821e-07],\n",
       "       [1.84178684e-16, 2.21467347e-17, 0.00000000e+00, 1.27064442e-13,\n",
       "        8.93691661e-09, 3.29733828e-09, 1.91345113e-07, 9.93823356e-07,\n",
       "        1.12554627e-07, 4.02057821e-07, 2.09862795e-08, 1.88951517e-07],\n",
       "       [1.17560862e-17, 0.00000000e+00, 0.00000000e+00, 6.32250976e-15,\n",
       "        2.31366146e-09, 7.95182653e-10, 6.91399813e-08, 3.92343580e-07,\n",
       "        3.42777254e-08, 1.49139297e-07, 5.47467048e-09, 8.24423874e-08]])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0\n",
       "  * wd       (wd) float64 96B 0.0 30.0 60.0 90.0 ... 240.0 270.0 300.0 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'freq'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li><li><span class='xr-has-index'>wd</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-706c3cb8-bf80-4e84-9a5c-72d1f3644737' class='xr-array-in' type='checkbox' checked><label for='section-706c3cb8-bf80-4e84-9a5c-72d1f3644737' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.572e-05 3.824e-05 1.119e-05 ... 1.491e-07 5.475e-09 8.244e-08</span></div><div class='xr-array-data'><pre>array([[5.57152984e-05, 3.82421894e-05, 1.11945902e-05, 1.23018769e-05,\n",
       "        5.15319349e-05, 5.59317817e-05, 9.08102968e-05, 1.09605712e-04,\n",
       "        8.13998067e-05, 1.13885366e-04, 8.55211467e-05, 2.55003546e-04],\n",
       "       [7.65499476e-04, 5.61147519e-04, 2.96311596e-04, 3.31512718e-04,\n",
       "        7.09016156e-04, 7.48392549e-04, 1.05585620e-03, 1.33836721e-03,\n",
       "        1.14776321e-03, 1.35690624e-03, 1.21093761e-03, 1.92253044e-03],\n",
       "       [1.97942061e-03, 1.50671126e-03, 1.11543248e-03, 1.26419616e-03,\n",
       "        1.86763374e-03, 1.93817889e-03, 2.53508794e-03, 3.31007454e-03,\n",
       "        3.07175419e-03, 3.30569143e-03, 3.24313467e-03, 3.58484386e-03],\n",
       "       [3.28069675e-03, 2.56202139e-03, 2.42143486e-03, 2.78719194e-03,\n",
       "        3.22635707e-03, 3.30358519e-03, 4.13128627e-03, 5.51889023e-03,\n",
       "        5.38183296e-03, 5.44596587e-03, 5.66941433e-03, 4.90280254e-03],\n",
       "       [4.36220547e-03, 3.47469833e-03, 4.05711330e-03, 4.77650526e-03,\n",
       "        4.59425773e-03, 4.64324712e-03, 5.64481806e-03, 7.70492509e-03,\n",
       "        7.78239029e-03, 7.51493934e-03, 8.15620839e-03, 5.80304914e-03],\n",
       "       [4.98362663e-03, 4.03259529e-03, 5.75392498e-03, 7.00248435e-03,\n",
       "        5.79658517e-03, 5.77756737e-03, 6.91231504e-03, 9.64703866e-03,\n",
       "        9.99725886e-03, 9.29322020e-03, 1.03913630e-02, 6.26085850e-03],\n",
       "       [5.03007583e-03, 4.11940165e-03, 7.16576136e-03, 9.13891339e-03,\n",
       "        6.68463420e-03, 6.56134226e-03, 7.80937685e-03, 1.11619816e-02,\n",
       "...\n",
       "        2.73417153e-06, 1.38912049e-06, 1.51068973e-05, 5.23816541e-05,\n",
       "        1.69713257e-05, 2.80343799e-05, 6.11631417e-06, 7.66532696e-06],\n",
       "       [4.71551901e-12, 1.16876545e-12, 1.66280006e-12, 2.73580287e-09,\n",
       "        9.95734038e-07, 4.76767655e-07, 6.93219153e-06, 2.59237603e-05,\n",
       "        7.02338531e-06, 1.31746735e-05, 2.25180906e-06, 3.87969454e-06],\n",
       "       [4.60529003e-13, 9.50506214e-14, 7.49452162e-14, 3.01481390e-10,\n",
       "        3.39358881e-07, 1.52773109e-07, 3.03497345e-06, 1.22731300e-05,\n",
       "        2.73850642e-06, 5.91027529e-06, 7.75437781e-07, 1.90567692e-06],\n",
       "       [3.91203363e-14, 6.61238221e-15, 2.60819707e-15, 2.75338204e-11,\n",
       "        1.08131306e-07, 4.56609307e-08, 1.26723270e-06, 5.55606025e-06,\n",
       "        1.00514783e-06, 2.52994696e-06, 2.49508293e-07, 9.08557800e-07],\n",
       "       [2.88415982e-15, 3.92313586e-16, 7.11914834e-17, 2.06929284e-12,\n",
       "        3.21810410e-08, 1.27170705e-08, 5.04431029e-07, 2.40406984e-06,\n",
       "        3.46983030e-07, 1.03291991e-06, 7.49370573e-08, 4.20501821e-07],\n",
       "       [1.84178684e-16, 2.21467347e-17, 0.00000000e+00, 1.27064442e-13,\n",
       "        8.93691661e-09, 3.29733828e-09, 1.91345113e-07, 9.93823356e-07,\n",
       "        1.12554627e-07, 4.02057821e-07, 2.09862795e-08, 1.88951517e-07],\n",
       "       [1.17560862e-17, 0.00000000e+00, 0.00000000e+00, 6.32250976e-15,\n",
       "        2.31366146e-09, 7.95182653e-10, 6.91399813e-08, 3.92343580e-07,\n",
       "        3.42777254e-08, 1.49139297e-07, 5.47467048e-09, 8.24423874e-08]])</pre></div></div></li><li class='xr-section-item'><input id='section-1e9e1745-d038-4dc1-bf4c-1a9e5abecc8f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e9e1745-d038-4dc1-bf4c-1a9e5abecc8f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-f1a697db-29e2-4fd3-b171-2fa2682355ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1a697db-29e2-4fd3-b171-2fa2682355ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af0c9afa-196b-4fd3-b66d-53bdd62232c8' class='xr-var-data-in' type='checkbox'><label for='data-af0c9afa-196b-4fd3-b66d-53bdd62232c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 30.0 60.0 ... 270.0 300.0 330.0</div><input id='attrs-58ded6e6-da1a-467e-9d1f-86806fb4e9ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58ded6e6-da1a-467e-9d1f-86806fb4e9ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4baa85aa-559f-4686-8f23-992133cbced8' class='xr-var-data-in' type='checkbox'><label for='data-4baa85aa-559f-4686-8f23-992133cbced8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.,  30.,  60.,  90., 120., 150., 180., 210., 240., 270., 300., 330.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50d6eb86-1fb7-43ab-b89d-a0796535be41' class='xr-section-summary-in' type='checkbox'  ><label for='section-50d6eb86-1fb7-43ab-b89d-a0796535be41' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4833f50d-5933-4aba-b600-a7afa45dd055' class='xr-index-data-in' type='checkbox'/><label for='index-4833f50d-5933-4aba-b600-a7afa45dd055' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>wd</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3aa5824f-65e3-4419-b637-8d98e9af495d' class='xr-index-data-in' type='checkbox'/><label for='index-3aa5824f-65e3-4419-b637-8d98e9af495d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.0, 30.0, 60.0, 90.0, 120.0, 150.0, 180.0, 210.0, 240.0, 270.0, 300.0,\n",
       "       330.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;wd&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33b9881f-3dc4-441b-a6c3-ecb4d39ad794' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33b9881f-3dc4-441b-a6c3-ecb4d39ad794' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'freq' (ws: 31, wd: 12)> Size: 3kB\n",
       "array([[5.57152984e-05, 3.82421894e-05, 1.11945902e-05, 1.23018769e-05,\n",
       "        5.15319349e-05, 5.59317817e-05, 9.08102968e-05, 1.09605712e-04,\n",
       "        8.13998067e-05, 1.13885366e-04, 8.55211467e-05, 2.55003546e-04],\n",
       "       [7.65499476e-04, 5.61147519e-04, 2.96311596e-04, 3.31512718e-04,\n",
       "        7.09016156e-04, 7.48392549e-04, 1.05585620e-03, 1.33836721e-03,\n",
       "        1.14776321e-03, 1.35690624e-03, 1.21093761e-03, 1.92253044e-03],\n",
       "       [1.97942061e-03, 1.50671126e-03, 1.11543248e-03, 1.26419616e-03,\n",
       "        1.86763374e-03, 1.93817889e-03, 2.53508794e-03, 3.31007454e-03,\n",
       "        3.07175419e-03, 3.30569143e-03, 3.24313467e-03, 3.58484386e-03],\n",
       "       [3.28069675e-03, 2.56202139e-03, 2.42143486e-03, 2.78719194e-03,\n",
       "        3.22635707e-03, 3.30358519e-03, 4.13128627e-03, 5.51889023e-03,\n",
       "        5.38183296e-03, 5.44596587e-03, 5.66941433e-03, 4.90280254e-03],\n",
       "       [4.36220547e-03, 3.47469833e-03, 4.05711330e-03, 4.77650526e-03,\n",
       "        4.59425773e-03, 4.64324712e-03, 5.64481806e-03, 7.70492509e-03,\n",
       "        7.78239029e-03, 7.51493934e-03, 8.15620839e-03, 5.80304914e-03],\n",
       "       [4.98362663e-03, 4.03259529e-03, 5.75392498e-03, 7.00248435e-03,\n",
       "        5.79658517e-03, 5.77756737e-03, 6.91231504e-03, 9.64703866e-03,\n",
       "        9.99725886e-03, 9.29322020e-03, 1.03913630e-02, 6.26085850e-03],\n",
       "       [5.03007583e-03, 4.11940165e-03, 7.16576136e-03, 9.13891339e-03,\n",
       "        6.68463420e-03, 6.56134226e-03, 7.80937685e-03, 1.11619816e-02,\n",
       "...\n",
       "        2.73417153e-06, 1.38912049e-06, 1.51068973e-05, 5.23816541e-05,\n",
       "        1.69713257e-05, 2.80343799e-05, 6.11631417e-06, 7.66532696e-06],\n",
       "       [4.71551901e-12, 1.16876545e-12, 1.66280006e-12, 2.73580287e-09,\n",
       "        9.95734038e-07, 4.76767655e-07, 6.93219153e-06, 2.59237603e-05,\n",
       "        7.02338531e-06, 1.31746735e-05, 2.25180906e-06, 3.87969454e-06],\n",
       "       [4.60529003e-13, 9.50506214e-14, 7.49452162e-14, 3.01481390e-10,\n",
       "        3.39358881e-07, 1.52773109e-07, 3.03497345e-06, 1.22731300e-05,\n",
       "        2.73850642e-06, 5.91027529e-06, 7.75437781e-07, 1.90567692e-06],\n",
       "       [3.91203363e-14, 6.61238221e-15, 2.60819707e-15, 2.75338204e-11,\n",
       "        1.08131306e-07, 4.56609307e-08, 1.26723270e-06, 5.55606025e-06,\n",
       "        1.00514783e-06, 2.52994696e-06, 2.49508293e-07, 9.08557800e-07],\n",
       "       [2.88415982e-15, 3.92313586e-16, 7.11914834e-17, 2.06929284e-12,\n",
       "        3.21810410e-08, 1.27170705e-08, 5.04431029e-07, 2.40406984e-06,\n",
       "        3.46983030e-07, 1.03291991e-06, 7.49370573e-08, 4.20501821e-07],\n",
       "       [1.84178684e-16, 2.21467347e-17, 0.00000000e+00, 1.27064442e-13,\n",
       "        8.93691661e-09, 3.29733828e-09, 1.91345113e-07, 9.93823356e-07,\n",
       "        1.12554627e-07, 4.02057821e-07, 2.09862795e-08, 1.88951517e-07],\n",
       "       [1.17560862e-17, 0.00000000e+00, 0.00000000e+00, 6.32250976e-15,\n",
       "        2.31366146e-09, 7.95182653e-10, 6.91399813e-08, 3.92343580e-07,\n",
       "        3.42777254e-08, 1.49139297e-07, 5.47467048e-09, 8.24423874e-08]])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0\n",
       "  * wd       (wd) float64 96B 0.0 30.0 60.0 90.0 ... 240.0 270.0 300.0 330.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_cond.frequency_table()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the Wind Speed Distribution\n",
    "\n",
    "The `ws_distribution` method can be used to plot the resulting distribution of wind speed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Wind speed [m/s]', ylabel='Frequency [-]'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wavekit.plot import set_style\n",
    "\n",
    "# Use the package default settings for plot\n",
    "set_style()\n",
    "site_cond.ws_distribution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Aggregate\n",
    "Set the `agg_wd` to True to return a single wind speed distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pcja001\\sqa\\WAVEKit\\wavekit\\site_conditions\\sc_models.py:896: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
      "  g = sns.lineplot(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Wind speed [m/s]', ylabel='Frequency [-]'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "site_cond.ws_distribution(agg_wd=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the Wind Rose\n",
    "\n",
    "Similarly, the wind direction distribution (sectors frequencies) can be displayed using the `wind_rose` method. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<PolarAxes: title={'center': 'Wind Rose'}>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "site_cond.wind_rose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `TabularSite`\n",
    "\n",
    "A flexible site condition model to handle wind conditions distribution defined directly as a multi-dimensional array of binned wind conditions (defined in [xarray.DataArray](https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html#xarray.) format).\n",
    "\n",
    "**Notes:**\n",
    "This class can handle any number of dimensions, but the input frequency table must contain at least two dimensions, namely the wind speed ('ws') and wind direction ('wd')."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Class Attributes\n",
    "\n",
    "The class is defined by the following attributes:\n",
    "\n",
    "- `da`: Array of wind conditions frequencies (defined as an xarray object <REF>).\n",
    "- (Optional) `rho`: The air density at the site. Uses a default value of 1.2 kg/m^3 if nothing is passed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    Class to handle site conditions defined by its frequency table         passed as an attributes (xarray format).\n",
      "\n",
      "    Attributes\n",
      "    ----------\n",
      "    da: xr.DataArray\n",
      "        Array of wind conditions frequencies.\n",
      "    rho: float\n",
      "        Air density value.\n",
      "    \n"
     ]
    }
   ],
   "source": [
    "from wavekit.site_conditions import TabularSite as obj\n",
    "print(obj.__doc__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Class demonstration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;freq&#x27; (ws: 31, wd: 72)&gt; Size: 18kB\n",
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       "  * wd       (wd) float64 576B 0.0 5.0 10.0 15.0 ... 340.0 345.0 350.0 355.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'freq'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li><li><span class='xr-has-index'>wd</span>: 72</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-04aa3403-73ca-47b6-9dc1-ab0866afea6c' class='xr-array-in' type='checkbox' checked><label for='section-04aa3403-73ca-47b6-9dc1-ab0866afea6c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.124e-05 1.022e-05 9.482e-06 ... 3.686e-07 3.273e-07 2.916e-07</span></div><div class='xr-array-data'><pre>array([[1.12419978e-05, 1.02225426e-05, 9.48157855e-06, ...,\n",
       "        1.58295973e-05, 1.40559546e-05, 1.25236287e-05],\n",
       "       [1.00775032e-04, 9.16364759e-05, 8.49943577e-05, ...,\n",
       "        1.41898993e-04, 1.25999782e-04, 1.12263773e-04],\n",
       "       [2.09861641e-04, 1.90830813e-04, 1.76998757e-04, ...,\n",
       "        2.95501327e-04, 2.62391593e-04, 2.33786675e-04],\n",
       "       ...,\n",
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       "        1.26342600e-06, 1.12186420e-06, 9.99562900e-07],\n",
       "       [4.91012156e-07, 4.46485829e-07, 4.14123043e-07, ...,\n",
       "        6.91382869e-07, 6.13916202e-07, 5.46989429e-07],\n",
       "       [2.61772126e-07, 2.38033912e-07, 2.20780418e-07, ...,\n",
       "        3.68595280e-07, 3.27295663e-07, 2.91615154e-07]])</pre></div></div></li><li class='xr-section-item'><input id='section-44c8902c-81d4-46d5-8620-ddf6ec33a668' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44c8902c-81d4-46d5-8620-ddf6ec33a668' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-2f473fed-8495-4a5f-af05-3bbea0a11336' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f473fed-8495-4a5f-af05-3bbea0a11336' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-875d0825-bad0-44c5-9d22-d239551f3ddf' class='xr-var-data-in' type='checkbox'><label for='data-875d0825-bad0-44c5-9d22-d239551f3ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
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       "        60.,  65.,  70.,  75.,  80.,  85.,  90.,  95., 100., 105., 110., 115.,\n",
       "       120., 125., 130., 135., 140., 145., 150., 155., 160., 165., 170., 175.,\n",
       "       180., 185., 190., 195., 200., 205., 210., 215., 220., 225., 230., 235.,\n",
       "       240., 245., 250., 255., 260., 265., 270., 275., 280., 285., 290., 295.,\n",
       "       300., 305., 310., 315., 320., 325., 330., 335., 340., 345., 350., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce7e7e1e-b28a-4ab5-a8e3-9d08d23069df' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce7e7e1e-b28a-4ab5-a8e3-9d08d23069df' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a2e611d1-4a56-4e6f-a764-c4a00576855b' class='xr-index-data-in' type='checkbox'/><label for='index-a2e611d1-4a56-4e6f-a764-c4a00576855b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>wd</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bfa70623-0080-4b21-965a-481fbcfadea0' class='xr-index-data-in' type='checkbox'/><label for='index-bfa70623-0080-4b21-965a-481fbcfadea0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,                5.0,               10.0,\n",
       "       14.999999999999998,               20.0,               25.0,\n",
       "       29.999999999999996,               35.0,               40.0,\n",
       "                     45.0,               50.0,               55.0,\n",
       "        59.99999999999999,               65.0,               70.0,\n",
       "                     75.0,               80.0,  84.99999999999999,\n",
       "                     90.0,               95.0,              100.0,\n",
       "                    105.0,              110.0,              115.0,\n",
       "       119.99999999999999, 124.99999999999999,              130.0,\n",
       "                    135.0,              140.0,              145.0,\n",
       "                    150.0,              155.0,              160.0,\n",
       "                    165.0, 169.99999999999997,              175.0,\n",
       "                    180.0,              185.0,              190.0,\n",
       "                    195.0,              200.0,              205.0,\n",
       "                    210.0, 214.99999999999997,              220.0,\n",
       "                    225.0,              230.0,              235.0,\n",
       "       239.99999999999997, 244.99999999999997, 249.99999999999997,\n",
       "       255.00000000000003,              260.0,              265.0,\n",
       "                    270.0,              275.0,              280.0,\n",
       "                    285.0,              290.0, 294.99999999999994,\n",
       "                    300.0,              305.0,              310.0,\n",
       "                    315.0,              320.0,              325.0,\n",
       "                    330.0,              335.0, 339.99999999999994,\n",
       "                    345.0,              350.0,              355.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;wd&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-713d9f49-483f-4e5d-a2ab-dc5529dbf6f4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-713d9f49-483f-4e5d-a2ab-dc5529dbf6f4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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       "        1.41898993e-04, 1.25999782e-04, 1.12263773e-04],\n",
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       "        1.26342600e-06, 1.12186420e-06, 9.99562900e-07],\n",
       "       [4.91012156e-07, 4.46485829e-07, 4.14123043e-07, ...,\n",
       "        6.91382869e-07, 6.13916202e-07, 5.46989429e-07],\n",
       "       [2.61772126e-07, 2.38033912e-07, 2.20780418e-07, ...,\n",
       "        3.68595280e-07, 3.27295663e-07, 2.91615154e-07]])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0\n",
       "  * wd       (wd) float64 576B 0.0 5.0 10.0 15.0 ... 340.0 345.0 350.0 355.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from wavekit.examples import get_frequency_table\n",
    "from wavekit.site_conditions import TabularSite\n",
    "\n",
    "\n",
    "# Get dummy wind condtions\n",
    "site_cond = TabularSite(da=get_frequency_table())\n",
    "site_cond.frequency_table()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Frequency Table\n",
    "\n",
    "The `frequency_table` method returns an array of probabilities associated with each wind speed bin defined in `ws_range`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
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       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "html[data-theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;freq&#x27; (ws: 31, wd: 72)&gt; Size: 18kB\n",
       "array([[1.12419978e-05, 1.02225426e-05, 9.48157855e-06, ...,\n",
       "        1.58295973e-05, 1.40559546e-05, 1.25236287e-05],\n",
       "       [1.00775032e-04, 9.16364759e-05, 8.49943577e-05, ...,\n",
       "        1.41898993e-04, 1.25999782e-04, 1.12263773e-04],\n",
       "       [2.09861641e-04, 1.90830813e-04, 1.76998757e-04, ...,\n",
       "        2.95501327e-04, 2.62391593e-04, 2.33786675e-04],\n",
       "       ...,\n",
       "       [8.97270603e-07, 8.15903647e-07, 7.56764222e-07, ...,\n",
       "        1.26342600e-06, 1.12186420e-06, 9.99562900e-07],\n",
       "       [4.91012156e-07, 4.46485829e-07, 4.14123043e-07, ...,\n",
       "        6.91382869e-07, 6.13916202e-07, 5.46989429e-07],\n",
       "       [2.61772126e-07, 2.38033912e-07, 2.20780418e-07, ...,\n",
       "        3.68595280e-07, 3.27295663e-07, 2.91615154e-07]])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0\n",
       "  * wd       (wd) float64 576B 0.0 5.0 10.0 15.0 ... 340.0 345.0 350.0 355.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'freq'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>ws</span>: 31</li><li><span class='xr-has-index'>wd</span>: 72</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-23552e29-7df6-4d4f-aaa1-6f5461617890' class='xr-array-in' type='checkbox' checked><label for='section-23552e29-7df6-4d4f-aaa1-6f5461617890' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.124e-05 1.022e-05 9.482e-06 ... 3.686e-07 3.273e-07 2.916e-07</span></div><div class='xr-array-data'><pre>array([[1.12419978e-05, 1.02225426e-05, 9.48157855e-06, ...,\n",
       "        1.58295973e-05, 1.40559546e-05, 1.25236287e-05],\n",
       "       [1.00775032e-04, 9.16364759e-05, 8.49943577e-05, ...,\n",
       "        1.41898993e-04, 1.25999782e-04, 1.12263773e-04],\n",
       "       [2.09861641e-04, 1.90830813e-04, 1.76998757e-04, ...,\n",
       "        2.95501327e-04, 2.62391593e-04, 2.33786675e-04],\n",
       "       ...,\n",
       "       [8.97270603e-07, 8.15903647e-07, 7.56764222e-07, ...,\n",
       "        1.26342600e-06, 1.12186420e-06, 9.99562900e-07],\n",
       "       [4.91012156e-07, 4.46485829e-07, 4.14123043e-07, ...,\n",
       "        6.91382869e-07, 6.13916202e-07, 5.46989429e-07],\n",
       "       [2.61772126e-07, 2.38033912e-07, 2.20780418e-07, ...,\n",
       "        3.68595280e-07, 3.27295663e-07, 2.91615154e-07]])</pre></div></div></li><li class='xr-section-item'><input id='section-231d150b-9ec8-48fe-848e-16ad19088cd1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-231d150b-9ec8-48fe-848e-16ad19088cd1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 3.0 ... 28.0 29.0 30.0</div><input id='attrs-b151262d-9981-40f4-ba79-26591ecaaadc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b151262d-9981-40f4-ba79-26591ecaaadc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4c17ed4-d39a-4b89-ba08-b60bed430a8e' class='xr-var-data-in' type='checkbox'><label for='data-a4c17ed4-d39a-4b89-ba08-b60bed430a8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.,\n",
       "       14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n",
       "       28., 29., 30.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 5.0 10.0 ... 345.0 350.0 355.0</div><input id='attrs-8c5e69f7-2fea-40e9-ba80-76086430cdc1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c5e69f7-2fea-40e9-ba80-76086430cdc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ecb8a5a-2645-44b8-a4c9-e19bbe8f8c60' class='xr-var-data-in' type='checkbox'><label for='data-2ecb8a5a-2645-44b8-a4c9-e19bbe8f8c60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0.,   5.,  10.,  15.,  20.,  25.,  30.,  35.,  40.,  45.,  50.,  55.,\n",
       "        60.,  65.,  70.,  75.,  80.,  85.,  90.,  95., 100., 105., 110., 115.,\n",
       "       120., 125., 130., 135., 140., 145., 150., 155., 160., 165., 170., 175.,\n",
       "       180., 185., 190., 195., 200., 205., 210., 215., 220., 225., 230., 235.,\n",
       "       240., 245., 250., 255., 260., 265., 270., 275., 280., 285., 290., 295.,\n",
       "       300., 305., 310., 315., 320., 325., 330., 335., 340., 345., 350., 355.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-858682be-311c-46ee-8bd5-d19bd044db57' class='xr-section-summary-in' type='checkbox'  ><label for='section-858682be-311c-46ee-8bd5-d19bd044db57' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>ws</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-89dc37c4-dec8-43b7-849a-f629ec7a63be' class='xr-index-data-in' type='checkbox'/><label for='index-89dc37c4-dec8-43b7-849a-f629ec7a63be' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0.0,  1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0,\n",
       "       12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0,\n",
       "       24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;ws&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>wd</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b8bb4a0b-e5b1-4ce8-89f5-7a318c9e2c11' class='xr-index-data-in' type='checkbox'/><label for='index-b8bb4a0b-e5b1-4ce8-89f5-7a318c9e2c11' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               0.0,                5.0,               10.0,\n",
       "       14.999999999999998,               20.0,               25.0,\n",
       "       29.999999999999996,               35.0,               40.0,\n",
       "                     45.0,               50.0,               55.0,\n",
       "        59.99999999999999,               65.0,               70.0,\n",
       "                     75.0,               80.0,  84.99999999999999,\n",
       "                     90.0,               95.0,              100.0,\n",
       "                    105.0,              110.0,              115.0,\n",
       "       119.99999999999999, 124.99999999999999,              130.0,\n",
       "                    135.0,              140.0,              145.0,\n",
       "                    150.0,              155.0,              160.0,\n",
       "                    165.0, 169.99999999999997,              175.0,\n",
       "                    180.0,              185.0,              190.0,\n",
       "                    195.0,              200.0,              205.0,\n",
       "                    210.0, 214.99999999999997,              220.0,\n",
       "                    225.0,              230.0,              235.0,\n",
       "       239.99999999999997, 244.99999999999997, 249.99999999999997,\n",
       "       255.00000000000003,              260.0,              265.0,\n",
       "                    270.0,              275.0,              280.0,\n",
       "                    285.0,              290.0, 294.99999999999994,\n",
       "                    300.0,              305.0,              310.0,\n",
       "                    315.0,              320.0,              325.0,\n",
       "                    330.0,              335.0, 339.99999999999994,\n",
       "                    345.0,              350.0,              355.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;wd&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e653965-5d9b-46eb-8a9d-443d0fc59859' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8e653965-5d9b-46eb-8a9d-443d0fc59859' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'freq' (ws: 31, wd: 72)> Size: 18kB\n",
       "array([[1.12419978e-05, 1.02225426e-05, 9.48157855e-06, ...,\n",
       "        1.58295973e-05, 1.40559546e-05, 1.25236287e-05],\n",
       "       [1.00775032e-04, 9.16364759e-05, 8.49943577e-05, ...,\n",
       "        1.41898993e-04, 1.25999782e-04, 1.12263773e-04],\n",
       "       [2.09861641e-04, 1.90830813e-04, 1.76998757e-04, ...,\n",
       "        2.95501327e-04, 2.62391593e-04, 2.33786675e-04],\n",
       "       ...,\n",
       "       [8.97270603e-07, 8.15903647e-07, 7.56764222e-07, ...,\n",
       "        1.26342600e-06, 1.12186420e-06, 9.99562900e-07],\n",
       "       [4.91012156e-07, 4.46485829e-07, 4.14123043e-07, ...,\n",
       "        6.91382869e-07, 6.13916202e-07, 5.46989429e-07],\n",
       "       [2.61772126e-07, 2.38033912e-07, 2.20780418e-07, ...,\n",
       "        3.68595280e-07, 3.27295663e-07, 2.91615154e-07]])\n",
       "Coordinates:\n",
       "  * ws       (ws) float64 248B 0.0 1.0 2.0 3.0 4.0 ... 26.0 27.0 28.0 29.0 30.0\n",
       "  * wd       (wd) float64 576B 0.0 5.0 10.0 15.0 ... 340.0 345.0 350.0 355.0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_cond.frequency_table()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the Wind Speed Distribution\n",
    "\n",
    "The `ws_distribution` method can be used to plot the resulting distribution of wind speed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from wavekit.plot import set_style\n",
    "\n",
    "# Use the package default settings for plot\n",
    "set_style()\n",
    "site_cond.ws_distribution(agg_wd=False, palette='flare');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Aggregate\n",
    "Set the `agg_wd` to True to return a single wind speed distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pcja001\\sqa\\WAVEKit\\wavekit\\site_conditions\\sc_models.py:1127: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
      "  g = sns.lineplot(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Wind speed [m/s]', ylabel='Frequency [-]'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "site_cond.ws_distribution(agg_wd=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the Wind Rose\n",
    "\n",
    "Similarly, the wind direction distribution (sectors frequencies) can be displayed using the `wind_rose` method. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<PolarAxes: title={'center': 'Wind Rose'}>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "site_cond.wind_rose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# License\n",
    "Copyright © 2024 EPRI, Inc. All rights reserved.\n",
    "\n",
    "Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: \n",
    "\n",
    "- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.\n",
    "- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.\n",
    "- Neither the name of the EPRI nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.\n",
    "\n",
    "The EPRI materials, embodiments, or other use Software Program and supporting materials may be ordered from:\n",
    "\n",
    "EPRI, Inc.\n",
    "1300 W. W.T. Harris Blvd.\n",
    "Charlotte, NC 28262 USA\n",
    "Phone: 1-800-313-3774\n",
    "Email: askepri@epri.com\n",
    "\n",
    "THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL EPRI BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
    "\n",
    "## Disclaimer\n",
    "<img align=\"left\" src=\"../../.material/eu-flag.png\" alt=\"eu-logo\" width=100 />\n",
    "\n",
    "This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement **No. 101006689** \n",
    "<br><br>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}