Plotting

PyODPS DataFrame provides plotting. To enable plotting, install the pandas and matplotlib libraries.

The following examples run in Jupyter:

>>> from odps.df import DataFrame
>>> iris = DataFrame(o.get_table('pyodps_iris'))
>>> %matplotlib inline
>>> iris.sepalwidth.plot()
<matplotlib.axes._subplots.AxesSubplot at 0x10c2b3510>

>>> iris.plot()
<matplotlib.axes._subplots.AxesSubplot at 0x10db7e690>

>>> iris.groupby('name').sum().plot(kind='bar', x='name', stacked=True, rot=30)
<matplotlib.axes._subplots.AxesSubplot at 0x10c5f2090>

>>> iris.hist(sharex=True)
array([[<matplotlib.axes._subplots.AxesSubplot object at 0x10e013f90>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x10e2d1c10>],
       [<matplotlib.axes._subplots.AxesSubplot object at 0x10e353f10>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x10e3c4410>]], dtype=object)

The kindparameter specifies the plotting type, and supports the following types:

kind	Description
line	Line chart
bar	Vertical bar chart
barh	Horizontal bar chart
hist	Histogram
box	Boxplot
kde	Kernel density estimation
density	Same as kernel density estimation
area
pie	Pie chart
scatter	Scatter chart
hexbin

For more information, see pandas.DataFrame.plot: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html

The plot function also provides the following parameters for plotting:

Parameter	Description
xlabel	X axis name
ylabel	Y axis name
xlabelsize	Size of x axis name
ylabelsize	Size of y axis name
labelsize	Axis name size
title	Title
titlesize	Title size
annotate	Annotation