to_csv#

pycafee.normalitycheck.kolmogorovsmirnov.KolmogorovSmirnov.to_csv(self, file_name=None, sep=',')#

Export the data to csv file This function is just a wraper around pd.DataFrame.to_csv [1] to export .csv files.

Parameters

file_namestr, optional: The name of the file to be exported, without its extension (default is None, which results in a file named 'kolmogorov_smirnov.csv')
sepstr of length 1, optional: Field delimiter for the output file (default is None, which uses the comma (',')). This is the sep parameter of the pd.DataFrame.to_csv() pandas method.

Returns

dfpd.DataFrame: A DataFrame containing the data used to export the csv file.

See also

fit: performs the Kolmogorov Smirnov Normality test.

Notes

The fit() method needs to be applied beforehand.

If there is a file with the same name passed through the file_name parameter in the current directory, the file will be exported with a different name.

References

1: pandas. pandas.DataFrame.to_csv. Available at: pd.to_csv. Accessed on: 10 May 2022.

Examples

Export with default settings

>>> from pycafee.normalitycheck.kolmogorovsmirnov import KolmogorovSmirnov
>>> import numpy as np
>>> x = np.array([1.90642, 2.22488, 2.10288, 1.69742, 1.52229, 3.15435, 2.61826, 1.98492, 1.42738, 1.99568])
>>> ks_test = KolmogorovSmirnov()
>>> ks_test.fit(x)
>>> ks_test.to_csv()
    The 'kolmogorov_smirnov.csv' file was exported!

Download the exported file by clicking here.

Export with personalized file name

>>> from pycafee.normalitycheck.kolmogorovsmirnov import KolmogorovSmirnov
>>> import numpy as np
>>> x = np.array([1.90642, 2.22488, 2.10288, 1.69742, 1.52229, 3.15435, 2.61826, 1.98492, 1.42738, 1.99568])
>>> ks_test = KolmogorovSmirnov()
>>> ks_test.fit(x)
>>> ks_test.to_csv(file_name="my_data")
    The 'my_data.csv' file was exported!

Download the exported file by clicking here.

to_xlsx

get_critical_value