ECDF Plot¶

Plot empirical cumulative distribution functions.

plot: 'ecdfplot'

Plot-Specific Parameters

hue (str, list, numpy.ndarray, pandas.core.indexes.base.Index, or None, default: None): Semantic variable that is mapped to determine the color of plot elements.
weights (str, list, numpy.ndarray, pandas.core.indexes.base.Index, or None, default: None): If provided, weight the contribution of the corresponding data points towards the cumulative distribution using these values.
stat (str, default: ‘proportion’): Distribution statistic to compute.
complementary (bool, default: False): If True, use the complementary CDF (1 - CDF).
palette (str, list, matplotlib.colors.Colormap, or None, default: None): Method for choosing the colors to use when mapping the hue semantic. String values are passed to color_palette(). List values imply categorical mapping, while a colormap object implies numeric mapping.
hue_order (list or None, default: None): Specify the order of processing and plotting for categorical levels of the hue semantic.
hue_norm (tuple, matplotlib.colors.Normalize, or None, default: None): Either a pair of values that set the normalization range in data units or an object that will map from data units into a 0 until 1 interval. Usage implies numeric mapping.
alpha (float or None, default: None): Proportional opacity of the points.
legend (bool, default: True): If False, suppress the legend for semantic variables.
zorder (int or None, default: None): Axes order. The default drawing order for axes is patches, lines, text for each plot order.

Example

from grplot import plot2d
import grplot_seaborn as gs
gs.set_theme(context='notebook', style='darkgrid', palette='deep')

tips = gs.load_dataset('tips')
ax = plot2d(plot='ecdfplot',
            df=tips.head(5),
            x='tip',
            xsep='.c',
            ysep='.',
            xtick_add='Rp(_)',
            text=True,
            title='ECDF Proportion vs tip')