scikit-learn · jnothman · Mar 10, 2020 · Nov 18, 2019 · Nov 18, 2019 · Nov 19, 2019
diff --git a/README.rst b/README.rst
@@ -58,7 +58,8 @@ scikit-learn 0.23 and later require Python 3.6 or newer.
 Scikit-learn plotting capabilities (i.e., functions start with ``plot_``
 and classes end with "Display") require Matplotlib (>= 2.1.1). For running the
 examples Matplotlib >= 2.1.1 is required. A few examples require
-scikit-image >= 0.13, a few examples require pandas >= 0.18.0.
+scikit-image >= 0.13, a few examples require pandas >= 0.18.0, some examples
+require seaborn >= 0.9.0.

 User installation
 ~~~~~~~~~~~~~~~~~

diff --git a/build_tools/circle/build_doc.sh b/build_tools/circle/build_doc.sh
@@ -169,7 +169,7 @@ conda create -n $CONDA_ENV_NAME --yes --quiet python="${PYTHON_VERSION:-*}" \
  cython="${CYTHON_VERSION:-*}" pytest coverage \
  matplotlib="${MATPLOTLIB_VERSION:-*}" sphinx=2.1.2 pillow \
  scikit-image="${SCIKIT_IMAGE_VERSION:-*}" pandas="${PANDAS_VERSION:-*}" \
-  joblib memory_profiler packaging
+  joblib memory_profiler packaging seaborn

 source activate testenv
 pip install sphinx-gallery

diff --git a/doc/conf.py b/doc/conf.py
@@ -250,6 +250,7 @@
    'matplotlib': ('https://matplotlib.org/', None),
    'pandas': ('https://pandas.pydata.org/pandas-docs/stable/', None),
    'joblib': ('https://joblib.readthedocs.io/en/latest/', None),
+    'seaborn': ('https://seaborn.pydata.org/', None),
 }

 v = parse(release)

diff --git a/doc/developers/contributing.rst b/doc/developers/contributing.rst
@@ -553,7 +553,8 @@ the development version.

 Building the documentation requires installing some additional packages::

-    pip install sphinx sphinx-gallery numpydoc matplotlib Pillow pandas scikit-image packaging
+    pip install sphinx sphinx-gallery numpydoc matplotlib Pillow pandas \
+                scikit-image packaging seaborn

 To build the documentation, you need to be in the ``doc`` folder::


diff --git a/doc/inspection.rst b/doc/inspection.rst
@@ -17,6 +17,10 @@ predictions from a model and what affects them. This can be used to
 evaluate assumptions and biases of a model, design a better model, or
 to diagnose issues with model performance.

+.. topic:: Examples:
+
+   * :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py`
+
 .. toctree::

    modules/partial_dependence

diff --git a/doc/install.rst b/doc/install.rst
@@ -134,7 +134,8 @@ it as ``scikit-learn[alldeps]``.
 Scikit-learn plotting capabilities (i.e., functions start with "plot\_"
 and classes end with "Display") require Matplotlib (>= 2.1.1). For running the
 examples Matplotlib >= 2.1.1 is required. A few examples require
-scikit-image >= 0.13, a few examples require pandas >= 0.18.0.
+scikit-image >= 0.13, a few examples require pandas >= 0.18.0, some examples
+require seaborn >= 0.9.0.

 .. warning::


diff --git a/doc/modules/linear_model.rst b/doc/modules/linear_model.rst
@@ -146,7 +146,7 @@ a linear kernel.

   * :ref:`sphx_glr_auto_examples_linear_model_plot_ridge_path.py`
   * :ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py`
-
+   * :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py`

 Ridge Complexity
 ----------------
@@ -232,6 +232,7 @@ computes the coefficients along the full path of possible values.

  * :ref:`sphx_glr_auto_examples_linear_model_plot_lasso_and_elasticnet.py`
  * :ref:`sphx_glr_auto_examples_applications_plot_tomography_l1_reconstruction.py`
+  * :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py`


 .. note:: **Feature selection with Lasso**

diff --git a/doc/themes/scikit-learn-modern/static/css/theme.css b/doc/themes/scikit-learn-modern/static/css/theme.css
@@ -963,6 +963,44 @@ div.sphx-glr-thumbcontainer {
  }
 }

+/* Pandas dataframe css */
+/* Taken from: https://github.com/spatialaudio/nbsphinx/blob/fb3ba670fc1ba5f54d4c487573dbc1b4ecf7e9ff/src/nbsphinx.py#L587-L619 */
+/* FIXME: to be removed when sphinx-gallery >= 5.0 will be released */
+
+table.dataframe {
+  border: none !important;
+  border-collapse: collapse;
+  border-spacing: 0;
+  border-color: transparent;
+  color: black;
+  font-size: 12px;
+  table-layout: fixed;
+}
+table.dataframe thead {
+  border-bottom: 1px solid black;
+  vertical-align: bottom;
+}
+table.dataframe tr,
+table.dataframe th,
+table.dataframe td {
+  text-align: right;
+  vertical-align: middle;
+  padding: 0.5em 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+table.dataframe th {
+  font-weight: bold;
+}
+table.dataframe tbody tr:nth-child(odd) {
+  background: #f5f5f5;
+}
+table.dataframe tbody tr:hover {
+  background: rgba(66, 165, 245, 0.2);
+}
+
 /* rellinks */

 .sk-btn-rellink {