IQR w 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'))
Energetic Eagle
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'))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