databricks.koalas.Series.plot.box

plot.box(**kwds)

Make a box plot of the DataFrame columns.

Parameters
**kwdsoptional

Additional keyword arguments are documented in Koalas.Series.plot().

precision: scalar, default = 0.01

This argument is used by Koalas to compute approximate statistics for building a boxplot. Use smaller values to get more precise statistics.

Returns
axesmatplotlib.axes.Axes or numpy.ndarray of them

Notes

There are behavior differences between Koalas and pandas.

  • Koalas computes approximate statistics - expect differences between pandas and Koalas boxplots, especially regarding 1st and 3rd quartiles.

  • The whis argument is only supported as a single number.

  • Koalas doesn’t support the following argument(s).

    • bootstrap argument is not supported

    • autorange argument is not supported

Examples

Draw a box plot from a DataFrame with four columns of randomly generated data.

>>> data = np.random.randn(25, 4)
>>> df = ks.DataFrame(data, columns=list('ABCD'))
>>> ax = df['A'].plot.box()
../../_images/databricks-koalas-Series-plot-box-1.png
databricks.koalas.Series.plot.barh databricks.koalas.Series.plot.density