Iqr in python

from scipy.stats import iqr

x = numpy.array([4.1, 6.2, 6.7, 7.1, 7.4, 7.4, 7.9, 8.1])
print(iqr(x, rng=(25,75), interpolation='midpoint'))

Source: stackoverflow.com

Calculate iqr in python dataset example

def outlier_treatment(datacolumn): sorted(datacolumn) Q1,Q3 = np.percentile(datacolumn , [25,75]) IQR = Q3 — Q1 lower_range = Q1 — (1.5 * IQR) upper_range = Q3 + (1.5 * IQR) return lower_range,upper_range

Source: medium.com

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