rekha.cdf

rekha.cdf(data=None, x=None, color=None, **kwargs)[source]

Create a cumulative distribution function (CDF) plot with Rekha styling.

Parameters:

  • data (DataFrame, dict, or None) – The data to plot

  • x (str, list, array, or None) – Column name or data for CDF

  • color (str, optional) – Column name for color grouping

  • facet_col (str, optional) – Column to use for creating subplots (facets)

  • facet_row (str, optional) – Column to use for creating subplot rows

  • title (str, optional) – Plot title

  • labels (dict, optional) – Dictionary mapping column names to display labels

  • dark_mode (bool, default False) – Whether to use dark theme

  • figsize (tuple, default (10, 6)) – Figure size (width, height)

  • grayscale_friendly (bool, default False) – Whether to use distinctive line styles for grayscale printing

  • **kwargs – Additional styling parameters

Returns:

CDF plot object with matplotlib figure and axes

Return type:

CDFPlot

Examples

>>> import rekha as rk
>>> import pandas as pd
>>> import numpy as np
>>> df = pd.DataFrame({
...     'values': np.random.normal(0, 1, 100),
...     'group': ['A'] * 50 + ['B'] * 50
... })
>>> fig = rk.cdf(df, x='values', color='group', title='CDF Comparison')
>>> fig.show()