Change plot style to seaborn from ggplot

Author: tp

doc/source/10min.rst

@@ -11,7 +11,7 @@
    np.random.seed(123456)
    np.set_printoptions(precision=4, suppress=True)
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
    pd.options.display.max_rows = 15
 
    #### portions of this were borrowed from the

doc/source/computation.rst

@@ -8,7 +8,7 @@
    np.set_printoptions(precision=4, suppress=True)
    import pandas as pd
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
    import matplotlib.pyplot as plt
    plt.close('all')
    pd.options.display.max_rows=15

doc/source/cookbook.rst

@@ -20,7 +20,7 @@
    pd.options.display.max_rows=15
 
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
 
    np.set_printoptions(precision=4, suppress=True)
 

doc/source/dsintro.rst

@@ -10,7 +10,7 @@
    pd.options.display.max_rows = 15
 
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
    import matplotlib.pyplot as plt
    plt.close('all')
 

doc/source/gotchas.rst

@@ -14,7 +14,7 @@ Frequently Asked Questions (FAQ)
    import pandas as pd
    pd.options.display.max_rows = 15
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
    import matplotlib.pyplot as plt
    plt.close('all')
 

doc/source/groupby.rst

@@ -10,7 +10,7 @@
    import pandas as pd
    pd.options.display.max_rows = 15
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
    import matplotlib.pyplot as plt
    plt.close('all')
    from collections import OrderedDict

doc/source/missing_data.rst

@@ -7,7 +7,7 @@
    import pandas as pd
    pd.options.display.max_rows=15
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
    import matplotlib.pyplot as plt
 
 .. _missing_data:

doc/source/visualization.rst

@@ -10,7 +10,7 @@
    np.set_printoptions(precision=4, suppress=True)
    pd.options.display.max_rows = 15
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
    import matplotlib.pyplot as plt
    plt.close('all')
 
@@ -24,12 +24,12 @@ We use the standard convention for referencing the matplotlib API:
 
    import matplotlib.pyplot as plt
 
-The plots in this document are made using matplotlib's ``ggplot`` style (new in version 1.4):
+The plots in this document are made using matplotlib's ``seaborn`` style (new in version 1.5):
 
 .. code-block:: python
 
    import matplotlib
-   matplotlib.style.use('ggplot')
+   matplotlib.style.use('seaborn')
 
 We provide the basics in pandas to easily create decent looking plots.
 See the :ref:`ecosystem <ecosystem.visualization>` section for visualization
@@ -134,7 +134,7 @@ For example, a bar plot can be created the following way:
    plt.figure();
 
    @savefig bar_plot_ex.png
-   df.iloc[5].plot(kind='bar'); plt.axhline(0, color='k')
+   df.iloc[5].plot(kind='bar');
 
 .. versionadded:: 0.17.0
 
@@ -1049,6 +1049,46 @@ be colored differently.
 Plot Formatting
 ---------------
 
+Setting the plot style
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+From version 1.5 and up, matplotlib offers a range of preconfigured plotting style. Setting these
+these styles can be used to easily give the plots have the general look that you want.
+Setting the can style is as easy as calling ``matplotlib.style.use(my_plot_style)`` before
+creating your plot.
+
+Some examples of popular styles beside ``'seaborn'`` are:
+
+   **default**. The ``default`` style is available from matplotlib v.2.0:
+
+   .. ipython:: python
+
+      df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))
+      df = df.cumsum()
+
+      matplotlib.style.use('default')
+
+      @savefig series_plot_default.png
+      df.plot()
+
+   **ggplot**. ``ggplot`` is a very popular style and has been available in matplotlib longer than other styles.
+
+   .. ipython:: python
+
+      matplotlib.style.use('ggplot')
+
+      @savefig series_plot_ggplot.png
+      df.plot()
+
+The names of the various available styles are listed at ``matplotlib.style.available`` and it can be worth it
+to familiarize yourself with them.
+
+.. ipython:: python
+
+   matplotlib.style.available
+   # resetting style to seaborn
+   matplotlib.style.use('seaborn')
+
 Most plotting methods have a set of keyword arguments that control the
 layout and formatting of the returned plot:
 
@@ -1082,9 +1122,6 @@ shown by default.
 
 .. ipython:: python
 
-   df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))
-   df = df.cumsum()
-
    @savefig frame_plot_basic_noleg.png
    df.plot(legend=False)