Graph outlier detection

#checking for outliers

numerical_features=[feature for feature in df.columns if df[feature].dtypes!='object']
for feature in numerical_features:
    if feature=='class(target)':
        pass
    else:
    
        df[feature].plot.box()
        plt.xlabel(feature)
        plt.show()

Similar codes

2 votes185 views1 answer
Ascii values in python of
Python
265 votes488 views27 answers
Rename column pandas
Python
0 vote197 views1 answer
Flip pyplot python
Python
0 vote186 views1 answer
Fibbonnai in python
Python
0 vote218 views3 answers
How to create a sub project in django
Python
0 vote172 views1 answer
Expand pandas dataframe into separate rows
Python
2 votes167 views1 answer
Pass in queryset as filter django
Python
0 vote172 views0 answer
Python
0 vote163 views1 answer
Détruire une variable python
Python
18 votes167 views4 answers
Dataframe groupby multiple columns
Python