pandas.plotting.parallel_coordinates¶

pandas.plotting.parallel_coordinates(frame, class_column, cols=None, ax=None, color=None, use_columns=False, xticks=None, colormap=None, axvlines=True, axvlines_kwds=None, sort_labels=False, **kwargs)[source]¶

Parallel coordinates plotting.

Parameters

frameDataFrame
class_columnstr: Column name containing class names.
colslist, optional: A list of column names to use.
axmatplotlib.axis, optional: Matplotlib axis object.
colorlist or tuple, optional: Colors to use for the different classes.
use_columnsbool, optional: If true, columns will be used as xticks.
xtickslist or tuple, optional: A list of values to use for xticks.
colormapstr or matplotlib colormap, default None: Colormap to use for line colors.
axvlinesbool, optional: If true, vertical lines will be added at each xtick.
axvlines_kwdskeywords, optional: Options to be passed to axvline method for vertical lines.
sort_labelsbool, default False: Sort class_column labels, useful when assigning colors.
**kwargs: Options to pass to matplotlib plotting method.

Returns

class:matplotlib.axis.Axes

Examples

>>> from matplotlib import pyplot as plt
>>> df = pd.read_csv('https://raw.github.com/pandas-dev/pandas/master'
                    '/pandas/tests/data/csv/iris.csv')
>>> pd.plotting.parallel_coordinates(
        df, 'Name',
        color=('#556270', '#4ECDC4', '#C7F464'))
>>> plt.show()