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

12 votes209 views1 answer
Create an environment in conda
Python
0 vote183 views1 answer
Splitting strings in Python without split()
Python
1 vote215 views1 answer
Print(int())
Python
1 vote327 views1 answer
How to right click in pyautogui
Python
1 vote222 views2 answers
How to get user id django
Python Django
2 votes318 views2 answers
Csv manipulation python
Python
0 vote187 views1 answer
Opencv read gif
Python
0 vote235 views2 answers
Builtwith python
Python
0 vote195 views1 answer
Python yyyymmdd
Python
2 votes371 views1 answer
Radio button pyqt
Python