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API documentation for plotting
module.
Classes
PlotAccessor
PlotAccessor
(
data
)
Make plots of Series or DataFrame with the matplotlib
backend.
Examples:For Series:
>>> import bigframes.pandas as bpd
>>> bpd.options.display.progress_bar = None
>>> ser = bpd.Series([1, 2, 3, 3])
>>> plot = ser.plot(kind='hist', title="My plot")
For DataFrame:
>>> df = bpd.DataFrame({'length': [1.5, 0.5, 1.2, 0.9, 3],
... 'width': [0.7, 0.2, 0.15, 0.2, 1.1]},
... index=['pig', 'rabbit', 'duck', 'chicken', 'horse'])
>>> plot = df.plot(title="DataFrame Plot")
Parameters
Name
Description
data
Series or DataFrame
The object for which the method is called.
kind
str
The kind of plot to produce: - 'line' : line plot (default) - 'hist' : histogram - 'area' : area plot - 'scatter' : scatter plot (DataFrame only)
Returns
Type
Description
matplotlib.axes.Axes or np.ndarray of them
An ndarray is returned with one
matplotlib.axes.Axes
per column when subplots=True
.