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

0 vote227 views1 answer
Base64 python flask html
Python
44 votes204 views5 answers
Python execute shell command
Python
1 vote197 views1 answer
Add seconds to datetime python
Python
0 vote238 views1 answer
Entropy formula pyhon
Python
6 votes222 views1 answer
Python merge two array into one
Python
0 vote200 views1 answer
Python simple input popup
Python
2 votes269 views1 answer
Pandas index false print
Python
22 votes326 views6 answers
Select columns pandas
Python
-1 vote191 views1 answer
Print(shahzaib)
Python
0 vote199 views2 answers
'dict_keys' object has no attribute 'tolist'
Python