Date: 26 Sep 2022
Module : mathematical
Installation : pip install mathematical
About:
Includes tools for calculating mean, median and standard deviation of rows
in data frames, detection of outliers, and statistical calculations
Sample:
from mathematical.outliers import quartile_outliers
data = [
[1, 2, 3, 4, 5],
[1, 2, 3, 4, 10],
[1, 2, 3, 4, 50],
[1, 2, 3, 4, 100],
[1, 2, 3, 4, 1000],
[1, 2, 3, 50, 1000],
]
for d in data:
outliers, data_exc_outliers = quartile_outliers(d)
print("data: ", d)
print("outliers: ", outliers)
print("data leaving outliers: ", data_exc_outliers)
print("")
Output:
% python mathematical_sample.py
data: [1, 2, 3, 4, 5]
outliers: []
data leaving outliers: [1, 2, 3, 4, 5]
data: [1, 2, 3, 4, 10]
outliers: [10]
data leaving outliers: [1, 2, 3, 4]
data: [1, 2, 3, 4, 50]
outliers: [50]
data leaving outliers: [1, 2, 3, 4]
data: [1, 2, 3, 4, 100]
outliers: [100]
data leaving outliers: [1, 2, 3, 4]
data: [1, 2, 3, 4, 1000]
outliers: [1000]
data leaving outliers: [1, 2, 3, 4]
data: [1, 2, 3, 50, 1000]
outliers: [1000]
data leaving outliers: [1, 2, 3, 50]
Reference:
https://pypi.org/project/mathematical/
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