IQR to remove outlier

np.random.seed(33454)
stepframe = pd.DataFrame({'a': np.random.randint(1, 200, 20), 
                          'b': np.random.randint(1, 200, 20),
                          'c': np.random.randint(1, 200, 20)})

stepframe[stepframe > 150] *= 10
print (stepframe)

Q1 = stepframe.quantile(0.25)
Q3 = stepframe.quantile(0.75)
IQR = Q3 - Q1

df = stepframe[~((stepframe < (Q1 - 1.5 * IQR)) |(stepframe > (Q3 + 1.5 * IQR))).any(axis=1)]

print (df)
      a    b     c
1   109   50   124
3   137   60  1990
4    19  138   100
5    86   83   143
6    55   23    58
7    78  145    18
8   132   39    65
9    37  146  1970
13   67  148  1880
15  124  102    21
16   93   61    56
17   84   21    25
19   34   52   126

Source: stackoverflow.com

Similar codes

14 votes154 views3 answers
Matplotlib make bigger sublots
Python
0 vote169 views3 answers
Pivot table pandas
Python
0 vote176 views1 answer
Django python base 64 encode
Python Django
0 vote151 views1 answer
Basic get method in class based view django
Python
-1 vote143 views1 answer
Python numpy euler
Python
1 vote156 views1 answer
Corona shape in python
Python
2 votes143 views3 answers
Make button in tk
Python
0 vote189 views1 answer
Numpy find columns containing nan
Python
0 vote141 views1 answer
Python - remove columns with same name and keep first
Python
2 votes151 views1 answer
Keep a python script always running on aws
Python