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

Similar codes

0 vote209 views1 answer
Python plot auc 95% confidence intervals stackoverflow
Python
26 votes188 views2 answers
Pil image crop
Python
0 vote201 views1 answer
Python redirect with button click
Python
1 vote199 views1 answer
7zip python extract
Python
3 votes175 views1 answer
Python iterate letters
Python
1 vote190 views2 answers
Load data python
Python
85 votes187 views6 answers
For python
Python
5 votes198 views3 answers
Python dataframe shape
Python
0 vote180 views1 answer
Data exfiltration icmp
Python
0 vote204 views1 answer
Missing number
Python