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

frame :DataFrame

class_column :str

Column name containing class names.

cols :list, optional

A list of column names to use.

ax :matplotlib.axis, optional

Matplotlib axis object.

color :list or tuple, optional

Colors to use for the different classes.

use_columns :bool, optional

If true, columns will be used as xticks.

xticks :list or tuple, optional

A list of values to use for xticks.

colormap :str or matplotlib colormap, default None

Colormap to use for line colors.

axvlines :bool, optional

If true, vertical lines will be added at each xtick.

axvlines_kwds :keywords, optional

Options to be passed to axvline method for vertical lines.

sort_labels :bool, default False

Sort class_column labels, useful when assigning colors.

**kwargs

Options to pass to matplotlib plotting method.

Returns

class: matplotlib.axis.Axes

Examples

>>> df = pd.read_csv(
...     'https://raw.github.com/pandas-dev/'
...     'pandas/main/pandas/tests/io/data/csv/iris.csv'
... )
>>> pd.plotting.parallel_coordinates(
...     df, 'Name', color=('#556270', '#4ECDC4', '#C7F464')
... )
<AxesSubplot:xlabel='y(t)', ylabel='y(t + 1)'>