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ecomodeller committed Feb 12, 2024
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12 changes: 0 additions & 12 deletions dfsu2d.html
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Expand Up @@ -428,18 +428,6 @@ <h1>Dfsu 2D<a class="headerlink" href="#dfsu-2d" title="Link to this heading">#<
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_1828/2771048869.py:2: DeprecationWarning:
Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
but was not found to be installed on your system.
If this would cause problems for you,
please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466

import pandas as pd
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<section id="basic-properties">
<h2>Basic properties<a class="headerlink" href="#basic-properties" title="Link to this heading">#</a></h2>
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12 changes: 0 additions & 12 deletions exercises/exercise_point_observations.html
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Expand Up @@ -420,18 +420,6 @@ <h1>Exercise point observation<a class="headerlink" href="#exercise-point-observ
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_1989/4080736814.py:1: DeprecationWarning:
Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
but was not found to be installed on your system.
If this would cause problems for you,
please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466

import pandas as pd
</pre></div>
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10 changes: 0 additions & 10 deletions exercises/final_assignment.html
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Expand Up @@ -455,16 +455,6 @@ <h2>1. Hydrograhic profiles<a class="headerlink" href="#hydrograhic-profiles" ti
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_2033/862073109.py:1: DeprecationWarning:
Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
but was not found to be installed on your system.
If this would cause problems for you,
please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466

import pandas as pd
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82 changes: 40 additions & 42 deletions input_data.html
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2 changes: 1 addition & 1 deletion mesh.html
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Expand Up @@ -555,7 +555,7 @@ <h2>A simple mesh<a class="headerlink" href="#a-simple-mesh" title="Link to this
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<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fa55af59850&gt;]
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f8b224e5280&gt;]
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<img alt="_images/abe68e6fe5a0009d7eeedd2023ce919a3a6882fb769797667cf821d795bd64ba.png" src="_images/abe68e6fe5a0009d7eeedd2023ce919a3a6882fb769797667cf821d795bd64ba.png" />
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108 changes: 32 additions & 76 deletions model_skill.html
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Expand Up @@ -506,22 +506,6 @@ <h2>Metrics<a class="headerlink" href="#metrics" title="Link to this heading">#<
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:91: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return np.mean(model.ravel() - obs.ravel())
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:227: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
residual = obs.ravel() - model.ravel()
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:129: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
error = np.average(np.abs(model.ravel() - obs.ravel()), weights=weights)
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:403: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return np.corrcoef(obs.ravel(), model.ravel())[0, 1]
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:467: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
residual = obs.ravel() - model.ravel()
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:469: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return np.sqrt(np.mean(residual**2)) / np.mean(np.abs(obs.ravel()))
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:342: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
residual = model.ravel() - obs.ravel()
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:129: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
error = np.average(np.abs(model.ravel() - obs.ravel()), weights=weights)
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:689: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return _linear_regression(obs.ravel(), model.ravel(), reg_method)[0]
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Expand Down Expand Up @@ -670,10 +648,6 @@ <h2>Taylor diagram<a class="headerlink" href="#taylor-diagram" title="Link to th
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:403: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return np.corrcoef(obs.ravel(), model.ravel())[0, 1]
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<img alt="_images/4005871bbbeec755b7a5cb1acead207a30e82b8a20042e16531030d730cc4c51.png" src="_images/4005871bbbeec755b7a5cb1acead207a30e82b8a20042e16531030d730cc4c51.png" />
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Expand Down Expand Up @@ -756,60 +730,46 @@ <h3>Overview<a class="headerlink" href="#overview" title="Link to this heading">
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:91: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return np.mean(model.ravel() - obs.ravel())
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:227: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
residual = obs.ravel() - model.ravel()
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:129: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
error = np.average(np.abs(model.ravel() - obs.ravel()), weights=weights)
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:403: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return np.corrcoef(obs.ravel(), model.ravel())[0, 1]
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:467: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
residual = obs.ravel() - model.ravel()
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:469: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
return np.sqrt(np.mean(residual**2)) / np.mean(np.abs(obs.ravel()))
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:342: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
residual = model.ravel() - obs.ravel()
/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/skill.py:785: FutureWarning: precision is deprecated, it has been renamed to decimals
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/skill.py:785: FutureWarning: precision is deprecated, it has been renamed to decimals
warnings.warn(
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#T_09c0e_row0_col2, #T_09c0e_row0_col3, #T_09c0e_row0_col4, #T_09c0e_row0_col5, #T_09c0e_row0_col6, #T_09c0e_row0_col7 {
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#T_09c0e_row1_col2, #T_09c0e_row1_col3, #T_09c0e_row1_col4, #T_09c0e_row1_col5, #T_09c0e_row1_col6, #T_09c0e_row1_col7 {
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<table id="T_8201d">
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<thead>
<tr>
<th class="blank level0" >&nbsp;</th>
<th id="T_8201d_level0_col0" class="col_heading level0 col0" >n</th>
<th id="T_8201d_level0_col1" class="col_heading level0 col1" >bias</th>
<th id="T_8201d_level0_col2" class="col_heading level0 col2" >rmse</th>
<th id="T_8201d_level0_col3" class="col_heading level0 col3" >urmse</th>
<th id="T_8201d_level0_col4" class="col_heading level0 col4" >mae</th>
<th id="T_8201d_level0_col5" class="col_heading level0 col5" >cc</th>
<th id="T_8201d_level0_col6" class="col_heading level0 col6" >si</th>
<th id="T_8201d_level0_col7" class="col_heading level0 col7" >r2</th>
<th id="T_09c0e_level0_col0" class="col_heading level0 col0" >n</th>
<th id="T_09c0e_level0_col1" class="col_heading level0 col1" >bias</th>
<th id="T_09c0e_level0_col2" class="col_heading level0 col2" >rmse</th>
<th id="T_09c0e_level0_col3" class="col_heading level0 col3" >urmse</th>
<th id="T_09c0e_level0_col4" class="col_heading level0 col4" >mae</th>
<th id="T_09c0e_level0_col5" class="col_heading level0 col5" >cc</th>
<th id="T_09c0e_level0_col6" class="col_heading level0 col6" >si</th>
<th id="T_09c0e_level0_col7" class="col_heading level0 col7" >r2</th>
</tr>
<tr>
<th class="index_name level0" >observation</th>
Expand All @@ -825,26 +785,26 @@ <h3>Overview<a class="headerlink" href="#overview" title="Link to this heading">
</thead>
<tbody>
<tr>
<th id="T_8201d_level0_row0" class="row_heading level0 row0" >HKNA</th>
<td id="T_8201d_row0_col0" class="data row0 col0" >386</td>
<td id="T_8201d_row0_col1" class="data row0 col1" >-0.32</td>
<td id="T_8201d_row0_col2" class="data row0 col2" >0.45</td>
<td id="T_8201d_row0_col3" class="data row0 col3" >0.32</td>
<td id="T_8201d_row0_col4" class="data row0 col4" >0.34</td>
<td id="T_8201d_row0_col5" class="data row0 col5" >0.97</td>
<td id="T_8201d_row0_col6" class="data row0 col6" >0.10</td>
<td id="T_8201d_row0_col7" class="data row0 col7" >0.85</td>
<th id="T_09c0e_level0_row0" class="row_heading level0 row0" >HKNA</th>
<td id="T_09c0e_row0_col0" class="data row0 col0" >386</td>
<td id="T_09c0e_row0_col1" class="data row0 col1" >-0.32</td>
<td id="T_09c0e_row0_col2" class="data row0 col2" >0.45</td>
<td id="T_09c0e_row0_col3" class="data row0 col3" >0.32</td>
<td id="T_09c0e_row0_col4" class="data row0 col4" >0.34</td>
<td id="T_09c0e_row0_col5" class="data row0 col5" >0.97</td>
<td id="T_09c0e_row0_col6" class="data row0 col6" >0.10</td>
<td id="T_09c0e_row0_col7" class="data row0 col7" >0.85</td>
</tr>
<tr>
<th id="T_8201d_level0_row1" class="row_heading level0 row1" >EPL</th>
<td id="T_8201d_row1_col0" class="data row1 col0" >66</td>
<td id="T_8201d_row1_col1" class="data row1 col1" >-0.08</td>
<td id="T_8201d_row1_col2" class="data row1 col2" >0.23</td>
<td id="T_8201d_row1_col3" class="data row1 col3" >0.22</td>
<td id="T_8201d_row1_col4" class="data row1 col4" >0.19</td>
<td id="T_8201d_row1_col5" class="data row1 col5" >0.97</td>
<td id="T_8201d_row1_col6" class="data row1 col6" >0.08</td>
<td id="T_8201d_row1_col7" class="data row1 col7" >0.93</td>
<th id="T_09c0e_level0_row1" class="row_heading level0 row1" >EPL</th>
<td id="T_09c0e_row1_col0" class="data row1 col0" >66</td>
<td id="T_09c0e_row1_col1" class="data row1 col1" >-0.08</td>
<td id="T_09c0e_row1_col2" class="data row1 col2" >0.23</td>
<td id="T_09c0e_row1_col3" class="data row1 col3" >0.22</td>
<td id="T_09c0e_row1_col4" class="data row1 col4" >0.19</td>
<td id="T_09c0e_row1_col5" class="data row1 col5" >0.97</td>
<td id="T_09c0e_row1_col6" class="data row1 col6" >0.08</td>
<td id="T_09c0e_row1_col7" class="data row1 col7" >0.93</td>
</tr>
</tbody>
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Expand All @@ -857,10 +817,6 @@ <h3>Overview<a class="headerlink" href="#overview" title="Link to this heading">
</div>
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/opt/hostedtoolcache/Python/3.9.18/x64/lib/python3.9/site-packages/modelskill/metrics.py:129: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.
error = np.average(np.abs(model.ravel() - obs.ravel()), weights=weights)
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