environmentaltools.graphics.test_normality

environmentaltools.graphics.test_normality(data, params, ax=None, fname=None)[source]

Test and visualize data normality with QQ-plot.

Performs normality test on transformed data and displays a probability plot to assess Gaussian distribution fit.

Parameters:

  • data (array-like) – Raw data values to test.

  • params (dict) – Transformation parameters for data normalization.

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

Note

Prints chi-squared statistic and p-value from D’Agostino-Pearson test. Null hypothesis: data comes from a normal distribution (α=0.05).