get columns based on dtype pandas
>>df.select_dtypes(include='object').columns
Index(['C', 'D'], dtype='object')get columns based on dtype pandas
>>df.select_dtypes(include='object').columns
Index(['C', 'D'], dtype='object')pandas df by row index
indices = [133, 22, 19, 203, 14, 1]
df_by_indices = df.iloc[indices, :]geting columnvalue in python df
A B
2 -0.133653 -0.030854
In [5]: sub_df.iloc[0]['A']
Out[5]: -0.13365288513107493add an index column in range dataframe
df = df.loc[df.index.repeat(df['a'])]
df['c'] = df.groupby(level=0).cumcount() + 1
df = df.reset_index(drop=True)
print (df)
a b c
0 1 x 1
1 2 y 1
2 2 y 2
3 3 z 1
4 3 z 2
5 3 z 3Copyright © 2021 Codeinu
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