sorting single row dataframe by column values

Question

I have to sort columns in single row dataframe by descending order.

dataframe looks like:

   store_1  store_2  store_3
0       11       54       28

result should be like:

   store_2  store_3  store_1
0       54       28       11

dataframe has more than sixty columns.

Asked By: Wild_rasta

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Source

Answer 1

This should work:

df.sort_values(by=0,axis=1)

where by indicates the label or index of the row, and axis = 1 indicates you want to sort the columns!

Answered By: AndreaYolo

Answer 2

You can use the pandas.Series.sort_values:

import pandas as pd

df = pd.DataFrame(data=[[11,54,28]], columns=['store_1', 'store_2', 'store_3'])
df = df.sort_values(by=0, axis=1, ascending=False)
print(df)

output will be:

   store_2  store_3  store_1
0       54       28       11

Answered By: Giuseppe La Gualano

sorting single row dataframe by column values

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