matplotlib
diff --git a/‎lib/matplotlib/axes/_axes.py‎
Lines changed: 30 additions & 16 deletions b/‎lib/matplotlib/axes/_axes.py‎
Lines changed: 30 additions & 16 deletions
diff --git a/‎lib/matplotlib/figure.py‎
Lines changed: 29 additions & 15 deletions b/‎lib/matplotlib/figure.py‎
Lines changed: 29 additions & 15 deletions
@@ -191,10 +191,11 @@ def legend(self, *args, **kwargs):
         Call signatures::
 
             legend()
-            legend(labels)
             legend(handles, labels)
+            legend(handles=handles)
+            legend(labels)
 
-        The call signatures correspond to these three different ways to use
+        The call signatures correspond to the following different ways to use
         this method:
 
         **1. Automatic detection of elements to be shown in the legend**
@@ -222,27 +223,40 @@ def legend(self, *args, **kwargs):
         no legend being drawn.
 
 
-        **2. Labeling existing plot elements**
+        **2. Explicitly listing the artists and labels in the legend**
 
-        To make a legend for lines which already exist on the Axes
-        (via plot for instance), simply call this function with an iterable
-        of strings, one for each legend item. For example::
+        For full control of which artists have a legend entry, it is possible
+        to pass an iterable of legend artists followed by an iterable of
+        legend labels respectively::
 
-            ax.plot([1, 2, 3])
-            ax.legend(['A simple line'])
+            ax.legend([line1, line2, line3], ['label1', 'label2', 'label3'])
 
-        Note: This call signature is discouraged, because the relation between
-        plot elements and labels is only implicit by their order and can
-        easily be mixed up.
 
+        **3. Explicitly listing the artists in the legend**
 
-        **3. Explicitly defining the elements in the legend**
+        This is similar to 2, but the labels are taken from the artists'
+        label properties. Example::
 
-        For full control of which artists have a legend entry, it is possible
-        to pass an iterable of legend artists followed by an iterable of
-        legend labels respectively::
+            line1, = ax.plot([1, 2, 3], label='label1')
+            line2, = ax.plot([1, 2, 3], label='label2')
+            ax.legend(handles=[line1, line2])
+
+
+        **4. Labeling existing plot elements**
+
+        .. admonition:: Discouraged
+
+            This call signature is discouraged, because the relation between
+            plot elements and labels is only implicit by their order and can
+            easily be mixed up.
+
+        To make a legend for all artists on an Axes, call this function with
+        an iterable of strings, one for each legend item. For example::
+
+            ax.plot([1, 2, 3])
+            ax.plot([5, 6, 7])
+            ax.legend(['First line', 'Second line'])
 
-            ax.legend([line1, line2, line3], ['label1', 'label2', 'label3'])
 
         Parameters
         ----------
 
@@ -958,10 +958,11 @@ def legend(self, *args, **kwargs):
         Call signatures::
 
             legend()
-            legend(labels)
             legend(handles, labels)
+            legend(handles=handles)
+            legend(labels)
 
-        The call signatures correspond to these three different ways to use
+        The call signatures correspond to the following different ways to use
         this method:
 
         **1. Automatic detection of elements to be shown in the legend**
@@ -989,7 +990,32 @@ def legend(self, *args, **kwargs):
         no legend being drawn.
 
 
-        **2. Labeling existing plot elements**
+        **2. Explicitly listing the artists and labels in the legend**
+
+        For full control of which artists have a legend entry, it is possible
+        to pass an iterable of legend artists followed by an iterable of
+        legend labels respectively::
+
+            fig.legend([line1, line2, line3], ['label1', 'label2', 'label3'])
+
+
+        **3. Explicitly listing the artists in the legend**
+
+        This is similar to 2, but the labels are taken from the artists'
+        label properties. Example::
+
+            line1, = ax1.plot([1, 2, 3], label='label1')
+            line2, = ax2.plot([1, 2, 3], label='label2')
+            fig.legend(handles=[line1, line2])
+
+
+        **4. Labeling existing plot elements**
+
+        .. admonition:: Discouraged
+
+            This call signature is discouraged, because the relation between
+            plot elements and labels is only implicit by their order and can
+            easily be mixed up.
 
         To make a legend for all artists on all Axes, call this function with
         an iterable of strings, one for each legend item. For example::
@@ -999,18 +1025,6 @@ def legend(self, *args, **kwargs):
             ax2.plot([2, 4, 6], color='red')
             fig.legend(['the blues', 'the reds'])
 
-        Note: This call signature is discouraged, because the relation between
-        plot elements and labels is only implicit by their order and can
-        easily be mixed up.
-
-
-        **3. Explicitly defining the elements in the legend**
-
-        For full control of which artists have a legend entry, it is possible
-        to pass an iterable of legend artists followed by an iterable of
-        legend labels respectively::
-
-            fig.legend([line1, line2, line3], ['label1', 'label2', 'label3'])
 
         Parameters
         ----------