draw_critical_values#

pycafee.normalitycheck.abdimolin.AbdiMolin.draw_critical_values(self, ax=None, export=None, extension=None, file_name=None, dpi=None, decimal_separator=None)#

Draw a plot with the AbdiMolin [1] critical data.

Parameters
axNone or matplotlib.axes.SubplotBase

  • If ax is None, a figure is created with a preset design. The other parameters can be used to export the graph.

  • If ax is a matplotlib.axes.SubplotBase, the function returns a matplotlib.axes.SubplotBase with the AbdiMolin critical data. In this case, the other parameters do not affect the graph.

exportbool, optional

Whether the graph should be exported (True) or not (False). The default value is None, which implies False.

file_namestr, optional

The file name. Default is None which results in a file named "abdimolin_critical_plot".

extensionstr, optional

The file extension without a dot. Default is None which results in a ".png" file.

dpiint or float, optional

The figure pixel density. The default is None, which results in a 100 dpis picture. This parameter must be a number higher than zero.

decimal_separatorstr, optional

The decimal separator symbol used in the chart. It can be the dot (None or '.') or the comma (',').

Returns
axesmatplotlib.axes._subplots.AxesSubplot

The axis of the graph.

See also

get_critical_value

Returns the critical value for the AbdiMolin test.

fit

performs the AbdiMolin Normality test.

Notes

To obtain the critical values of the AbdiMolin test, use:

from pycafee.normalitycheck.abdimolin import AbdiMolin
abdimolin_test = AbdiMolin()
table = abdimolin_test.ABDIMOLIN_TABLE

References

1

SALKIND, N. J. Encyclopedia of measurement and statistics. California: SAGE Publications, Inc., 2007. DOI: 10.4135/9781412952644.

Examples

Using the figure created inside the function

>>> from pycafee.normalitycheck.abdimolin import AbdiMolin
>>> abdimolin_test = AbdiMolin()
>>> abdimolin_test.draw_critical_values(export=True)
The 'abdi_molin_critical_plot.png' file has been exported
Graph showing the Abdi Molin critical plot

Using a previously created figure

>>> from pycafee.normalitycheck.abdimolin import AbdiMolin
>>> import matplotlib.pyplot as plt
>>> abdimolin_test = AbdiMolin(language='pt-br')
>>> fig, ax = plt.subplots(figsize=(8,6))
>>> ax = abdimolin_test.draw_critical_values(ax=ax)
>>> plt.savefig("abdi_molin_plot.png")
>>> plt.show()
Graph showing the Abdi Molin critical plot.

previous

get_critical_value

next

fn_abdi_molin