Common plots used in statistical analyses

Having seen how to create, lay out, and annotate time-series charts, we will now look at creating a number of charts, other than time series that are commonplace in presenting statistical information.

Bar plots

Bar plots are useful in order to visualize the relative differences in values of non time-series data. Bar plots can be created using the kind='bar' parameter of the .plot() method:

In [24]:
   # make a bar plot
   # create a small series of 10 random values centered at 0.0
   np.random.seed(seedval)
   s = pd.Series(np.random.rand(10) - 0.5)
   # plot the bar chart
   s.plot(kind='bar');
Bar plots

If the data being plotted ...

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