Add line continuation in docstrings

patniharshit · patniharshit · commit 75a289fcbfcf · 2017-08-28T00:49:18.000+05:30
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -5054,7 +5054,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
             to colors based on the `norm` (mapping scalar to scalar)
             and the `cmap` (mapping the normed scalar to a color).
 
-        cmap : `~matplotlib.colors.Colormap`,
+        cmap : `~matplotlib.colors.Colormap`, \
             `~matplotlib.colors.BivariateColormap`optional, default: None
             If None, default to rc `image.cmap` value. `cmap` is ignored
             if `X` is 3-D but not bivariate, directly specifying RGB(A) values.
@@ -5081,7 +5081,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
             on the Agg, ps and pdf backends. Other backends will fall back to
             'nearest'.
 
-        norm : `~matplotlib.colors.Normalize`,
+        norm : `~matplotlib.colors.Normalize`, \
             `matplotlib.colors.BivariateNorm` optional, default: None
             A `~matplotlib.colors.Normalize` instance is used to scale
             a 2-D float `X` input to the (0, 1) range for input to the
@@ -5302,10 +5302,12 @@ def pcolor(self, *args, **kwargs):
             vectors, they will be expanded as needed into the appropriate 2-D
             arrays, making a rectangular grid.
 
-        cmap : `~matplotlib.colors.Colormap`, optional, default: None
+        cmap : `~matplotlib.colors.Colormap` or \
+            `matplotlib.colors.BivariateColormap` optional, default: None
             If `None`, default to rc settings.
 
-        norm : `matplotlib.colors.Normalize`, optional, default: None
+        norm : `matplotlib.colors.Normalize` or \
+            `matplotlib.colors.BivariateNorm` optional, default: None
             An instance is used to scale luminance data to (0, 1).
             If `None`, defaults to :func:`normalize`.
 
@@ -5572,12 +5574,12 @@ def pcolormesh(self, *args, **kwargs):
         Keyword arguments:
 
           *cmap*: [ *None* | Colormap ]
-            A :class:`matplotlib.colors.Colormap` or
+            A :class:`matplotlib.colors.Colormap` or \
             :class:`matplotlib.colors.BivariateColormap`instance. If *None*,
             use rc settings.
 
           *norm*: [ *None* | Normalize ]
-            A :class:`matplotlib.colors.Normalize` or
+            A :class:`matplotlib.colors.Normalize` or \
             :class:`matplotlib.colors.BivariateNorm` instance is used to
             scale luminance data to 0,1. If *None*, defaults to
             :func:`normalize`.
@@ -5765,12 +5767,12 @@ def pcolorfast(self, *args, **kwargs):
         Optional keyword arguments:
 
           *cmap*: [ *None* | Colormap ]
-            A :class:`matplotlib.colors.Colormap` or
+            A :class:`matplotlib.colors.Colormap` or \
             :class:`matplotlib.colors.BivariateColormap` instance from cm.
             If *None*, use rc settings.
 
           *norm*: [ *None* | Normalize ]
-            A :class:`matplotlib.colors.Normalize` or
+            A :class:`matplotlib.colors.Normalize` or \
             :class:`matplotlib.colors.BivariateNorm` instance is used to scale
             luminance data to 0,1. If *None*, defaults to normalize()
 
