DOC Some updates for new plotting API (scikit-learn#14598)

Author: qinhanmin2014

README.rst

@@ -55,10 +55,10 @@ scikit-learn requires:
 **Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4.**
 scikit-learn 0.21 and later require Python 3.5 or newer.
 
-Scikit-learn plotting capabilities (i.e., functions start with "plot_") require
-Matplotlib (>= 1.5.1). For running the examples Matplotlib >= 1.5.1 is
-required. A few examples require scikit-image >= 0.12.3, a few examples require
-pandas >= 0.18.0.
+Scikit-learn plotting capabilities (i.e., functions start with "plot_"
+and classes end with "Display") require Matplotlib (>= 1.5.1). For running the
+examples Matplotlib >= 1.5.1 is required. A few examples require
+scikit-image >= 0.12.3, a few examples require pandas >= 0.18.0.
 
 User installation
 ~~~~~~~~~~~~~~~~~

doc/install.rst

@@ -22,10 +22,10 @@ Scikit-learn requires:
 - SciPy (>= 0.17.0)
 - joblib (>= 0.11)
 
-Scikit-learn plotting capabilities (i.e., functions start with "plot_") require
-Matplotlib (>= 1.5.1). For running the examples Matplotlib >= 1.5.1 is
-required. A few examples require scikit-image >= 0.12.3, a few examples require
-pandas >= 0.18.0.
+Scikit-learn plotting capabilities (i.e., functions start with "plot_"
+and classes end with "Display") require Matplotlib (>= 1.5.1). For running the
+examples Matplotlib >= 1.5.1 is required. A few examples require
+scikit-image >= 0.12.3, a few examples require pandas >= 0.18.0.
 
 .. warning::
 

doc/modules/classes.rst

@@ -658,8 +658,17 @@ Kernels:
 
    inspection.partial_dependence
    inspection.permutation_importance
-   inspection.plot_partial_dependence
 
+Plotting
+--------
+
+.. currentmodule:: sklearn
+
+.. autosummary::
+   :toctree: generated/
+   :template: function.rst
+
+   inspection.plot_partial_dependence
 
 .. _isotonic_ref:
 
@@ -1455,9 +1464,18 @@ Low-level methods
    :template: function.rst
 
    tree.export_graphviz
-   tree.plot_tree
    tree.export_text
 
+Plotting
+--------
+
+.. currentmodule:: sklearn
+
+.. autosummary::
+   :toctree: generated/
+   :template: function.rst
+
+   tree.plot_tree
 
 .. _utils_ref: