Fix docstring of subplots().

anntzer · anntzer · commit 22dc39865e07 · 2019-06-02T21:51:57.000+02:00
Mostly indentation problems, plus small edits.
diff --git a/lib/matplotlib/figure.py b/lib/matplotlib/figure.py
@@ -1444,12 +1444,10 @@ def subplots(self, nrows=1, ncols=1, sharex=False, sharey=False,
             Controls sharing of properties among x (`sharex`) or y (`sharey`)
             axes:
 
-                - True or 'all': x- or y-axis will be shared among all
-                  subplots.
-                - False or 'none': each subplot x- or y-axis will be
-                  independent.
-                - 'row': each subplot row will share an x- or y-axis.
-                - 'col': each subplot column will share an x- or y-axis.
+            - True or 'all': x- or y-axis will be shared among all subplots.
+            - False or 'none': each subplot x- or y-axis will be independent.
+            - 'row': each subplot row will share an x- or y-axis.
+            - 'col': each subplot column will share an x- or y-axis.
 
             When subplots have a shared x-axis along a column, only the x tick
             labels of the bottom subplot are created. Similarly, when subplots
@@ -1461,12 +1459,11 @@ def subplots(self, nrows=1, ncols=1, sharex=False, sharey=False,
             - If True, extra dimensions are squeezed out from the returned
               array of Axes:
 
-                - if only one subplot is constructed (nrows=ncols=1), the
-                  resulting single Axes object is returned as a scalar.
-                - for Nx1 or 1xM subplots, the returned object is a 1D numpy
-                  object array of Axes objects.
-                - for NxM, subplots with N>1 and M>1 are returned
-                  as a 2D array.
+              - if only one subplot is constructed (nrows=ncols=1), the
+                resulting single Axes object is returned as a scalar.
+              - for Nx1 or 1xM subplots, the returned object is a 1D numpy
+                object array of Axes objects.
+              - for NxM, subplots with N>1 and M>1 are returned as a 2D array.
 
             - If False, no squeezing at all is done: the returned Axes object
               is always a 2D array containing Axes instances, even if it ends
@@ -1501,19 +1498,18 @@ def subplots(self, nrows=1, ncols=1, sharex=False, sharey=False,
             # Create a figure
             plt.figure()
 
-            # Creates a subplot
+            # Create a subplot
             ax = fig.subplots()
             ax.plot(x, y)
             ax.set_title('Simple plot')
 
-            # Creates two subplots and unpacks the output array immediately
+            # Create two subplots and unpack the output array immediately
             ax1, ax2 = fig.subplots(1, 2, sharey=True)
             ax1.plot(x, y)
             ax1.set_title('Sharing Y axis')
             ax2.scatter(x, y)
 
-            # Creates four polar axes, and accesses them through the
-            # returned array
+            # Create four polar axes and access them through the returned array
             axes = fig.subplots(2, 2, subplot_kw=dict(polar=True))
             axes[0, 0].plot(x, y)
             axes[1, 1].scatter(x, y)
@@ -1530,12 +1526,12 @@ def subplots(self, nrows=1, ncols=1, sharex=False, sharey=False,
             # Note that this is the same as
             fig.subplots(2, 2, sharex=True, sharey=True)
 
-            See Also
-            --------
-            .pyplot.subplots
-            .Figure.add_subplot
-            .pyplot.subplot
-            """
+        See Also
+        --------
+        .pyplot.subplots
+        .Figure.add_subplot
+        .pyplot.subplot
+        """
 
         if isinstance(sharex, bool):
             sharex = "all" if sharex else "none"
diff --git a/lib/matplotlib/pyplot.py b/lib/matplotlib/pyplot.py
@@ -1056,12 +1056,10 @@ def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True,
         Controls sharing of properties among x (`sharex`) or y (`sharey`)
         axes:
 
-            - True or 'all': x- or y-axis will be shared among all
-              subplots.
-            - False or 'none': each subplot x- or y-axis will be
-              independent.
-            - 'row': each subplot row will share an x- or y-axis.
-            - 'col': each subplot column will share an x- or y-axis.
+        - True or 'all': x- or y-axis will be shared among all subplots.
+        - False or 'none': each subplot x- or y-axis will be independent.
+        - 'row': each subplot row will share an x- or y-axis.
+        - 'col': each subplot column will share an x- or y-axis.
 
         When subplots have a shared x-axis along a column, only the x tick
         labels of the bottom subplot are created. Similarly, when subplots
@@ -1073,11 +1071,11 @@ def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True,
         - If True, extra dimensions are squeezed out from the returned
           array of `~matplotlib.axes.Axes`:
 
-            - if only one subplot is constructed (nrows=ncols=1), the
-              resulting single Axes object is returned as a scalar.
-            - for Nx1 or 1xM subplots, the returned object is a 1D numpy
-              object array of Axes objects.
-            - for NxM, subplots with N>1 and M>1 are returned as a 2D array.
+          - if only one subplot is constructed (nrows=ncols=1), the
+            resulting single Axes object is returned as a scalar.
+          - for Nx1 or 1xM subplots, the returned object is a 1D numpy
+            object array of Axes objects.
+          - for NxM, subplots with N>1 and M>1 are returned as a 2D array.
 
         - If False, no squeezing at all is done: the returned Axes object is
           always a 2D array containing Axes instances, even if it ends up
@@ -1133,18 +1131,18 @@ def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True,
         x = np.linspace(0, 2*np.pi, 400)
         y = np.sin(x**2)
 
-        # Creates just a figure and only one subplot
+        # Create just a figure and only one subplot
         fig, ax = plt.subplots()
         ax.plot(x, y)
         ax.set_title('Simple plot')
 
-        # Creates two subplots and unpacks the output array immediately
+        # Create two subplots and unpack the output array immediately
         f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
         ax1.plot(x, y)
         ax1.set_title('Sharing Y axis')
         ax2.scatter(x, y)
 
-        # Creates four polar axes, and accesses them through the returned array
+        # Create four polar axes and access them through the returned array
         fig, axs = plt.subplots(2, 2, subplot_kw=dict(polar=True))
         axs[0, 0].plot(x, y)
         axs[1, 1].scatter(x, y)
@@ -1161,7 +1159,7 @@ def subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True,
         # Note that this is the same as
         plt.subplots(2, 2, sharex=True, sharey=True)
 
-        # Creates figure number 10 with a single subplot
+        # Create figure number 10 with a single subplot
         # and clears it if it already exists.
         fig, ax = plt.subplots(num=10, clear=True)
 
