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, **kwds) [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, False Sort class_column labels, useful when assigning colors New in version 0.20.0. kwds : keywords 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/iris.csv')
>>> pd.plotting.parallel_coordinates(
        df, 'Name',
        color=('#556270', '#4ECDC4', '#C7F464'))
>>> plt.show()