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:

ax: matplotlib axis object

Examples

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