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. |