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pandas get index of max value in column

#use this to get the index of the max value of a column
max_index = column.idxmax()
Comment

get column index of maximum value in each row pandas

>>> df.idxmax(axis=1)
0    Communications
1          Business
2    Communications
3    Communications
4          Business
dtype: object
Comment

maximum element in dataframe row

max_elements = df.max(axis = 1) #axis = 0, default, max of each column
print(max_elements)
Comment

pandas find column with max value for each row

# credit to Stack Overflow in the source link

df.head()
Communications and Search   Business    General Lifestyle
0   0.745763    0.050847    0.118644    0.084746
0   0.333333    0.000000    0.583333    0.083333
0   0.617021    0.042553    0.297872    0.042553
0   0.435897    0.000000    0.410256    0.153846
0   0.358974    0.076923    0.410256    0.153846

df.idxmax(axis=1)
0    Communications
1          Business
2    Communications
3    Communications
4          Business
dtype: object
Comment

pd df return index for the maximum value in each row

df.idxmax(axis="columns")
Comment

pandas df index for the maximum value in each row

df.idxmin()
Comment

pandas get index of max value in column

#use this to get the index of the max value of a column
max_index = column.idxmax()
Comment

get column index of maximum value in each row pandas

>>> df.idxmax(axis=1)
0    Communications
1          Business
2    Communications
3    Communications
4          Business
dtype: object
Comment

maximum element in dataframe row

max_elements = df.max(axis = 1) #axis = 0, default, max of each column
print(max_elements)
Comment

pandas find column with max value for each row

# credit to Stack Overflow in the source link

df.head()
Communications and Search   Business    General Lifestyle
0   0.745763    0.050847    0.118644    0.084746
0   0.333333    0.000000    0.583333    0.083333
0   0.617021    0.042553    0.297872    0.042553
0   0.435897    0.000000    0.410256    0.153846
0   0.358974    0.076923    0.410256    0.153846

df.idxmax(axis=1)
0    Communications
1          Business
2    Communications
3    Communications
4          Business
dtype: object
Comment

pd df return index for the maximum value in each row

df.idxmax(axis="columns")
Comment

pandas df index for the maximum value in each row

df.idxmin()
Comment
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