environmentaltools.graphics.qq

environmentaltools.graphics.qq(data, prob_model='norm', marker='.', color='k', line='45', ax=None, label=None, fname=None)[source]

Draw QQ-plot comparing data against theoretical distribution.

Creates a quantile-quantile plot to assess how well data matches a specified probability distribution.

Parameters:

  • data (pd.DataFrame) – Time series data to plot.

  • prob_model (str) – Name of scipy.stats probability distribution. Defaults to ‘norm’.

  • marker (str) – Matplotlib marker style. Defaults to ‘.’.

  • color (str) – Color for data points. Defaults to ‘k’ (black).

  • line (str) – Reference line style (‘45’, ‘s’, ‘r’, ‘q’, or None). Defaults to ‘45’.

  • ax (matplotlib.axes.Axes, optional) – Axis for the plot. Creates new if None. Defaults to None.

  • label (str, optional) – Label for the data. Defaults to None.

  • fname (str, optional) – File path to save the plot. If None, displays interactively. Defaults to None.

Returns:

The axis with the plot.

Return type:

matplotlib.axes.Axes