matplotlib
diff --git a/‎doc/users/style_sheets.rst
Copy file name to clipboardExpand all lines: doc/users/style_sheets.rst
+8-9Lines changed: 8 additions & 9 deletions b/‎doc/users/style_sheets.rst
Copy file name to clipboardExpand all lines: doc/users/style_sheets.rst
+8-9Lines changed: 8 additions & 9 deletions
diff --git a/‎examples/style_sheets/plot_dark_background.py
Copy file name to clipboardExpand all lines: examples/style_sheets/plot_dark_background.py
+1-2Lines changed: 1 addition & 2 deletions b/‎examples/style_sheets/plot_dark_background.py
Copy file name to clipboardExpand all lines: examples/style_sheets/plot_dark_background.py
+1-2Lines changed: 1 addition & 2 deletions
diff --git a/‎examples/style_sheets/plot_ggplot.py
Copy file name to clipboardExpand all lines: examples/style_sheets/plot_ggplot.py
+1-2Lines changed: 1 addition & 2 deletions b/‎examples/style_sheets/plot_ggplot.py
Copy file name to clipboardExpand all lines: examples/style_sheets/plot_ggplot.py
+1-2Lines changed: 1 addition & 2 deletions
diff --git a/‎examples/style_sheets/plot_grayscale.py
Copy file name to clipboardExpand all lines: examples/style_sheets/plot_grayscale.py
+1-3Lines changed: 1 addition & 3 deletions b/‎examples/style_sheets/plot_grayscale.py
Copy file name to clipboardExpand all lines: examples/style_sheets/plot_grayscale.py
+1-3Lines changed: 1 addition & 3 deletions
@@ -13,12 +13,12 @@ example, there's a pre-defined style called "ggplot", which emulates the
 aesthetics of ggplot_ (a popular plotting package for R_). To use this style,
 just add::
 
-   >>> from matplotlib import style
-   >>> style.use('ggplot')
+   >>> import matplotlib.pyplot as plt
+   >>> plt.style.use('ggplot')
 
 To list all available styles, use::
 
-   >>> print style.available
+   >>> print plt.style.available
 
 
 Defining your own style
@@ -45,8 +45,8 @@ For example, you might want to create
 Then, when you want to adapt a plot designed for a paper to one that looks
 good in a presentation, you can just add::
 
-   >>> from matplotlib import style
-   >>> style.use('presentation')
+   >>> import matplotlib.pyplot as plt
+   >>> plt.style.use('presentation')
 
 
 Composing styles
@@ -57,8 +57,8 @@ sheet that customizes colors and a separate style sheet that alters element
 sizes for presentations. These styles can easily be combined by passing
 a list of styles::
 
-   >>> from matplotlib import style
-   >>> style.use(['dark_background', 'presentation'])
+   >>> import matplotlib.pyplot as plt
+   >>> plt.style.use(['dark_background', 'presentation'])
 
 Note that styles further to the right will overwrite values that are already
 defined by styles on the right.
@@ -75,9 +75,8 @@ changes, you can write something like the following::
 
    >>> import numpy as np
    >>> import matplotlib.pyplot as plt
-   >>> from matplotlib import style
    >>>
-   >>> with style.context(('dark_background')):
+   >>> with plt.style.context(('dark_background')):
    >>>     plt.plot(np.sin(np.linspace(0, 2*np.pi)), 'r-o')
    >>>
    >>> # Some plotting code with the default style
 
@@ -7,9 +7,8 @@
 import numpy as np
 import matplotlib.pyplot as plt
 
-from matplotlib import style
-style.use('dark_background')
 
+plt.style.use('dark_background')
 
 L = 6
 x = np.linspace(0, L)
 
@@ -12,9 +12,8 @@
 """
 import numpy as np
 import matplotlib.pyplot as plt
-from matplotlib import style
 
-style.use('ggplot')
+plt.style.use('ggplot')
 
 fig, axes = plt.subplots(ncols=2, nrows=2)
 ax1, ax2, ax3, ax4 = axes.ravel()
 
@@ -7,8 +7,6 @@
 import numpy as np
 import matplotlib.pyplot as plt
 
-from matplotlib import style
-
 
 def color_cycle_example(ax):
     L = 6
@@ -24,7 +22,7 @@ def image_and_patch_example(ax):
     ax.add_patch(c)
 
 
-style.use('grayscale')
+plt.style.use('grayscale')
 
 fig, (ax1, ax2) = plt.subplots(ncols=2)