pandas.plotting.parallel_coordinates¶
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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()