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<!DOCTYPE html>
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<div class="section" id="matminer-datasets-package">
<h1>matminer.datasets package<a class="headerlink" href="#matminer-datasets-package" title="Permalink to this headline">¶</a></h1>
<div class="section" id="subpackages">
<h2>Subpackages<a class="headerlink" href="#subpackages" title="Permalink to this headline">¶</a></h2>
<div class="toctree-wrapper compound">
<ul>
<li class="toctree-l1"><a class="reference internal" href="matminer.datasets.tests.html">matminer.datasets.tests package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="matminer.datasets.tests.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="matminer.datasets.tests.html#module-matminer.datasets.tests.base">matminer.datasets.tests.base module</a></li>
<li class="toctree-l2"><a class="reference internal" href="matminer.datasets.tests.html#module-matminer.datasets.tests.test_convenience_loaders">matminer.datasets.tests.test_convenience_loaders module</a></li>
<li class="toctree-l2"><a class="reference internal" href="matminer.datasets.tests.html#module-matminer.datasets.tests.test_dataset_retrieval">matminer.datasets.tests.test_dataset_retrieval module</a></li>
<li class="toctree-l2"><a class="reference internal" href="matminer.datasets.tests.html#module-matminer.datasets.tests.test_datasets">matminer.datasets.tests.test_datasets module</a></li>
<li class="toctree-l2"><a class="reference internal" href="matminer.datasets.tests.html#module-matminer.datasets.tests.test_utils">matminer.datasets.tests.test_utils module</a></li>
<li class="toctree-l2"><a class="reference internal" href="matminer.datasets.tests.html#module-matminer.datasets.tests">Module contents</a></li>
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<div class="section" id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline">¶</a></h2>
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<div class="section" id="module-matminer.datasets.convenience_loaders">
<span id="matminer-datasets-convenience-loaders-module"></span><h2>matminer.datasets.convenience_loaders module<a class="headerlink" href="#module-matminer.datasets.convenience_loaders" title="Permalink to this headline">¶</a></h2>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_boltztrap_mp">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_boltztrap_mp</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_boltztrap_mp" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the boltztrap_mp dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_brgoch_superhard_training">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_brgoch_superhard_training</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">subset</span><span class="o">=</span><span class="default_value">'all'</span></em>, <em class="sig-param"><span class="n">drop_suspect</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_brgoch_superhard_training" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the expt_formation_enthalpy dataset.</p>
<dl>
<dt>Args:</dt><dd><dl>
<dt>subset (str): Identifier for subset of data to return,</dt><dd><dl class="simple">
<dt>all: all possible columns including metadata, engineered features,</dt><dd><p>and basic descriptors</p>
</dd>
</dl>
<p>brgoch_features: only features from reference paper and targets
basic_descriptors: only composition/structure columns and targets</p>
</dd>
<dt>drop_suspect (bool): Whether to drop values with possibly incorrect</dt><dd><p>elastic data and materials that could not be verified</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_castelli_perovskites">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_castelli_perovskites</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_castelli_perovskites" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the castelli_perovskites dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_citrine_thermal_conductivity">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_citrine_thermal_conductivity</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">room_temperature</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_citrine_thermal_conductivity" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the citrine thermal conductivity dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>room_temperature (bool) Whether or not to only return items with room</dt><dd><p>temperature k_condition. True by default.</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_dielectric_constant">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_dielectric_constant</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">include_metadata</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_dielectric_constant" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the dielectric_constant dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>include_metadata (bool): Whether or not to include the cif, meta,</dt><dd><p>and poscar dataset columns. False by default.</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_double_perovskites_gap">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_double_perovskites_gap</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">return_lumo</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_double_perovskites_gap" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the double_perovskites_gap dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>return_lumo (bool) Whether or not to provide LUMO energy dataframe in</dt><dd><p>addition to gap dataframe. Defaults to False.</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame, tuple)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_double_perovskites_gap_lumo">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_double_perovskites_gap_lumo</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_double_perovskites_gap_lumo" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the double_perovskites_gap_lumo dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_elastic_tensor">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_elastic_tensor</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">version</span><span class="o">=</span><span class="default_value">'2015'</span></em>, <em class="sig-param"><span class="n">include_metadata</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_elastic_tensor" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the elastic_tensor dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>version (str): Version of the elastic_tensor dataset to load</dt><dd><p>(defaults to 2015)</p>
</dd>
<dt>include_metadata (bool): Whether or not to include the cif, meta,</dt><dd><p>and poscar dataset columns. False by default.</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_expt_formation_enthalpy">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_expt_formation_enthalpy</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_expt_formation_enthalpy" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the expt_formation_enthalpy dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_expt_gap">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_expt_gap</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_expt_gap" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the expt_gap dataset.me</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_flla">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_flla</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_flla" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the flla dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_glass_binary">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_glass_binary</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">version</span><span class="o">=</span><span class="default_value">'v2'</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_glass_binary" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the glass_binary dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>version (str): Version identifier for dataset, see dataset description</dt><dd><p>for explanation of each. Defaults to v2</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_glass_ternary_hipt">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_glass_ternary_hipt</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">system</span><span class="o">=</span><span class="default_value">'all'</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_glass_ternary_hipt" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the glass_ternary_hipt dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>system (str, list): return items only from the requested system(s)</dt><dd><p>options are: “CoFeZr”, “CoTiZr”, “CoVZr”, “FeTiNb”</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_glass_ternary_landolt">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_glass_ternary_landolt</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">processing</span><span class="o">=</span><span class="default_value">'all'</span></em>, <em class="sig-param"><span class="n">unique_composition</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_glass_ternary_landolt" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the glass_ternary_landolt dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>processing (str): return only items with a specified processing method</dt><dd><p>defaults to all, options are sputtering and meltspin</p>
</dd>
<dt>unique_composition (bool): Whether or not to combine compositions with</dt><dd><p>the same formula</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_heusler_magnetic">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_heusler_magnetic</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_heusler_magnetic" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the heusler magnetic dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_jarvis_dft_2d">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_jarvis_dft_2d</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">drop_nan_columns</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_jarvis_dft_2d" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the jarvis dft 2d dataset.</p>
<dl>
<dt>Args:</dt><dd><p>drop_nan_columns (list, str): Column or columns to drop rows
containing NaN values from</p>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_jarvis_dft_3d">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_jarvis_dft_3d</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">drop_nan_columns</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_jarvis_dft_3d" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the jarvis dft 3d dataset.</p>
<dl>
<dt>Args:</dt><dd><p>drop_nan_columns (list, str): Column or columns to drop rows
containing NaN values from</p>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_jarvis_ml_dft_training">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_jarvis_ml_dft_training</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">drop_nan_columns</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_jarvis_ml_dft_training" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the jarvis ml dft training dataset.</p>
<dl>
<dt>Args:</dt><dd><p>drop_nan_columns (list, str): Column or columns to drop rows
containing NaN values from</p>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_m2ax">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_m2ax</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_m2ax" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the m2ax dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_mp">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_mp</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">include_structures</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_mp" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the materials project dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>include_structures (bool) Whether or not to load the full mp</dt><dd><p>structure data. False by default.</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_phonon_dielectric_mp">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_phonon_dielectric_mp</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_phonon_dielectric_mp" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the phonon_dielectric_mp dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_piezoelectric_tensor">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_piezoelectric_tensor</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">include_metadata</span><span class="o">=</span><span class="default_value">False</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_piezoelectric_tensor" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the piezoelectric_tensor dataset.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>include_metadata (bool): Whether or not to include the cif, meta,</dt><dd><p>and poscar dataset columns. False by default.</p>
</dd>
</dl>
<p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_steel_strength">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_steel_strength</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_steel_strength" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the steel strength dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.convenience_loaders.load_wolverton_oxides">
<code class="sig-prename descclassname">matminer.datasets.convenience_loaders.</code><code class="sig-name descname">load_wolverton_oxides</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.convenience_loaders.load_wolverton_oxides" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for loading the wolverton oxides dataset.</p>
<dl>
<dt>Args:</dt><dd><p>data_home (str, None): Where to look for and store the loaded dataset</p>
<dl class="simple">
<dt>download_if_missing (bool): Whether or not to download the dataset if</dt><dd><p>it isn’t on disk</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (pd.DataFrame)</p>
</dd></dl>
</div>
<div class="section" id="module-matminer.datasets.dataset_retrieval">
<span id="matminer-datasets-dataset-retrieval-module"></span><h2>matminer.datasets.dataset_retrieval module<a class="headerlink" href="#module-matminer.datasets.dataset_retrieval" title="Permalink to this headline">¶</a></h2>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_all_dataset_info">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_all_dataset_info</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_all_dataset_info" title="Permalink to this definition">¶</a></dt>
<dd><dl class="simple">
<dt>Helper function to get all info for a particular dataset, including:</dt><dd><ul class="simple">
<li><p>Citation info</p></li>
<li><p>Bibtex-formatted references</p></li>
<li><p>Dataset columns and their descriptions</p></li>
<li><p>The dataset description</p></li>
<li><p>The number of entries in the dataset</p></li>
</ul>
</dd>
<dt>Args:</dt><dd><p>dataset_name (str): Name of the dataset querying info</p>
</dd>
<dt>Returns:</dt><dd><dl class="simple">
<dt>output_str (str): All metadata associated with the dataset, in a</dt><dd><p>formatted string.</p>
</dd>
</dl>
</dd>
</dl>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_available_datasets">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_available_datasets</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">print_format</span><span class="o">=</span><span class="default_value">'medium'</span></em>, <em class="sig-param"><span class="n">sort_method</span><span class="o">=</span><span class="default_value">'alphabetical'</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_available_datasets" title="Permalink to this definition">¶</a></dt>
<dd><p>Function for retrieving the datasets available within matminer.</p>
<dl>
<dt>Args:</dt><dd><dl>
<dt>print_format (None, str): None, “short”, “medium”, or “long”:</dt><dd><p>None: Don’t print anything
“short”: only the dataset names
“medium”: dataset names and their descriptions
“long”: All dataset info associated with the dataset</p>
</dd>
<dt>sort_method (str): By what metric to sort the datasets when retrieving</dt><dd><p>their information.</p>
<p>alphabetical: sorts by dataset name,
num_entries: sorts by number of dataset entries</p>
</dd>
</dl>
</dd>
</dl>
<p>Returns: (list)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_dataset_attribute">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_dataset_attribute</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em>, <em class="sig-param"><span class="n">attrib_key</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_dataset_attribute" title="Permalink to this definition">¶</a></dt>
<dd><p>Helper function for getting generic attributes of the dataset</p>
<dl>
<dt>Args:</dt><dd><p>dataset_name (str): Name of the dataset querying info from</p>
<p>attrib_key (str): Name of attribute to pull</p>
</dd>
</dl>
<p>Returns: Dataset attribute</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_dataset_citations">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_dataset_citations</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_dataset_citations" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for getting dataset citations</p>
<dl class="simple">
<dt>Args:</dt><dd><p>dataset_name (str): name of the dataset being queried</p>
</dd>
</dl>
<p>Returns: (list)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_dataset_column_description">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_dataset_column_description</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em>, <em class="sig-param"><span class="n">dataset_column</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_dataset_column_description" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for getting dataset column description</p>
<dl class="simple">
<dt>Args:</dt><dd><p>dataset_name (str): name of the dataset being queried
dataset_column (str): name of the column to get description from</p>
</dd>
</dl>
<p>Returns: (str)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_dataset_columns">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_dataset_columns</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_dataset_columns" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for getting dataset column list</p>
<dl class="simple">
<dt>Args:</dt><dd><p>dataset_name (str): name of the dataset being queried</p>
</dd>
</dl>
<p>Returns: (list)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_dataset_description">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_dataset_description</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_dataset_description" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for getting dataset description</p>
<dl class="simple">
<dt>Args:</dt><dd><p>dataset_name (str): name of the dataset being queried</p>
</dd>
</dl>
<p>Returns: (str)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_dataset_num_entries">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_dataset_num_entries</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_dataset_num_entries" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for getting dataset number of entries</p>
<dl class="simple">
<dt>Args:</dt><dd><p>dataset_name (str): name of the dataset being queried</p>
</dd>
</dl>
<p>Returns: (int)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.get_dataset_reference">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">get_dataset_reference</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">dataset_name</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.get_dataset_reference" title="Permalink to this definition">¶</a></dt>
<dd><p>Convenience function for getting dataset reference</p>
<dl class="simple">
<dt>Args:</dt><dd><p>dataset_name (str): name of the dataset being queried</p>
</dd>
</dl>
<p>Returns: (str)</p>
</dd></dl>
<dl class="py function">
<dt id="matminer.datasets.dataset_retrieval.load_dataset">
<code class="sig-prename descclassname">matminer.datasets.dataset_retrieval.</code><code class="sig-name descname">load_dataset</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">name</span></em>, <em class="sig-param"><span class="n">data_home</span><span class="o">=</span><span class="default_value">None</span></em>, <em class="sig-param"><span class="n">download_if_missing</span><span class="o">=</span><span class="default_value">True</span></em>, <em class="sig-param"><span class="n">pbar</span><span class="o">=</span><span class="default_value">False</span></em><span class="sig-paren">)</span><a class="headerlink" href="#matminer.datasets.dataset_retrieval.load_dataset" title="Permalink to this definition">¶</a></dt>
<dd><p>Loads a dataframe containing the dataset specified with the ‘name’ field.</p>
<p>Dataset file is stored/loaded from data_home if specified, otherwise at
the MATMINER_DATA environment variable if set or at matminer/datasets
by default.</p>
<dl>
<dt>Args:</dt><dd><dl class="simple">
<dt>name (str): keyword specifying what dataset to load, run</dt><dd><p>matminer.datasets.get_available_datasets() for options</p>
</dd>
</dl>
<p>data_home (str): path to folder to look for dataset file</p>
<dl class="simple">
<dt>download_if_missing (bool): whether to download the dataset if is not</dt><dd><p>found on disk</p>
</dd>
</dl>
<p>pbar (bool): If true, show progress bar for loading dataset.</p>
</dd>
<dt>Returns: (pd.DataFrame,</dt><dd><p>tuple -> (pd.DataFrame, pd.DataFrame) if return_lumo = True)</p>
</dd>
</dl>
</dd></dl>
</div>
<div class="section" id="module-matminer.datasets.utils">
<span id="matminer-datasets-utils-module"></span><h2>matminer.datasets.utils module<a class="headerlink" href="#module-matminer.datasets.utils" title="Permalink to this headline">¶</a></h2>
</div>
<div class="section" id="module-matminer.datasets">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-matminer.datasets" title="Permalink to this headline">¶</a></h2>
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<li><a class="reference internal" href="#">matminer.datasets package</a><ul>
<li><a class="reference internal" href="#subpackages">Subpackages</a></li>
<li><a class="reference internal" href="#submodules">Submodules</a></li>
<li><a class="reference internal" href="#module-matminer.datasets.convenience_loaders">matminer.datasets.convenience_loaders module</a></li>
<li><a class="reference internal" href="#module-matminer.datasets.dataset_retrieval">matminer.datasets.dataset_retrieval module</a></li>
<li><a class="reference internal" href="#module-matminer.datasets.utils">matminer.datasets.utils module</a></li>
<li><a class="reference internal" href="#module-matminer.datasets">Module contents</a></li>
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