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np.random.seed(123456 )
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np.set_printoptions(precision = 4 , suppress = True )
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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pd.options.display.max_rows = 15
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# ### portions of this were borrowed from the
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np.set_printoptions(precision = 4 , suppress = True )
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import pandas as pd
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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import matplotlib.pyplot as plt
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plt.close(' all' )
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pd.options.display.max_rows= 15
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pd.options.display.max_rows= 15
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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np.set_printoptions(precision = 4 , suppress = True )
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pd.options.display.max_rows = 15
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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import matplotlib.pyplot as plt
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plt.close(' all' )
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Original file line number Diff line number Diff line change @@ -14,7 +14,7 @@ Frequently Asked Questions (FAQ)
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import pandas as pd
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pd.options.display.max_rows = 15
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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import matplotlib.pyplot as plt
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plt.close(' all' )
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import pandas as pd
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pd.options.display.max_rows = 15
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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import matplotlib.pyplot as plt
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plt.close(' all' )
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from collections import OrderedDict
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import pandas as pd
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pd.options.display.max_rows= 15
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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import matplotlib.pyplot as plt
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.. _missing_data :
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np.set_printoptions(precision = 4 , suppress = True )
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pd.options.display.max_rows = 15
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import matplotlib
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- matplotlib.style.use(' seaborn ' )
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+ # matplotlib.style.use('default ')
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import matplotlib.pyplot as plt
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plt.close(' all' )
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@@ -24,13 +24,6 @@ We use the standard convention for referencing the matplotlib API:
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import matplotlib.pyplot as plt
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- The plots in this document are made using matplotlib's ``seaborn `` style (new in version 1.5):
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-
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- .. code-block :: python
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-
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- import matplotlib
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- matplotlib.style.use(' seaborn' )
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-
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We provide the basics in pandas to easily create decent looking plots.
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See the :ref: `ecosystem <ecosystem.visualization >` section for visualization
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libraries that go beyond the basics documented here.
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