Module plotting (1.25.0)

Version 1.25.0

• 1.26.0 (latest)
• 1.25.0
• 1.24.0
• 1.22.0
• 1.21.0
• 1.20.0
• 1.19.0
• 1.18.0
• 1.17.0
• 1.16.0
• 1.15.0
• 1.14.0
• 1.13.0
• 1.12.0
• 1.11.1
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.26.0
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.1
• 0.19.2
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.14.1
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.0
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.0

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.