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Is there a way to disable the interpolation in the pandas area plot? I would like to get a "step-style" area plot. E.g. in the normal line plot it is possible to specify:
import pandas as pd
df = pd.DataFrame({'x':range(10)})
df.plot(drawstyle = 'steps') # this works
#df.plot(kind = 'area', drawstyle = 'steps') # this does not work
I am using python 2.7 and pandas 0.14.1.
Many thanks in advance.
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By default uses the index. Column to plot. By default uses all columns. Area plots are stacked by default.
You can interpolate missing values ( NaN ) in pandas. DataFrame and Series with interpolate() . This article describes the following contents. Use dropna() and fillna() to remove missing values NaN or to fill them with a specific value.
Recently an update of .fill_between() was shipped with matplotlib version 1.5.0 that allows to fill the area between two step functions. This even works with Pandas time series.
Since the argument step='pre' exists, it can be used like this:
# For error bands around a series df
ax.fill_between(df.index, df - offset, df + offset, step='pre', **kwargs)
# For filling the whole area below a function
ax.fill_between(df.index, df, 0, step='pre', **kwargs)
Additional key word arguments that make sense to me are for example alpha=0.3 and lw=0.
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