Plotting Utilities

This page documents plotting utilities for visualizing distribution treatment effects, confidence intervals, and other results.

dte_adj.plot.plot(X: ndarray, means: ndarray, lower_bounds: ndarray, upper_bounds: ndarray, chart_type: str = 'line', color: str = 'green', ax: Axis | None = None, title: str | None = None, xlabel: str | None = None, ylabel: str | None = None)[source]

Visualize distributional parameters and their confidence intervals.

Parameters:

  • X (np.Array) – values to be used for x axis.

  • means (np.Array) – Expected distributional parameters.

  • lower_bounds (np.Array) – Lower bound for the distributional parameters.

  • upper_bounds (np.Array) – Upper bound for the distributional parameters.

  • chart_type (str) – Chart type of the plotting. Available values are line or bar.

  • color (str) – The color of lines or bars.

  • ax (matplotlib.axes.Axes, optional) – Target axes instance. If None, a new figure and axes will be created.

  • title (str, optional) – Axes title.

  • xlabel (str, optional) – X-axis title label.

  • ylabel (str, optional) – Y-axis title label.

Returns:

The axes with the plot.

Return type:

matplotlib.axes.Axes