In this post, we will see 3 different methods to Reordering the columns of Pandas Dataframe :
Table of Contents
Using reindex method
You can use DataFrame’s reindex() method to reorder columns of pandas DataFrame.
You need to pass columns=[$list_of_columns] to reindex() method to reorder columns of Pandas DataFrame.
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# import pandas package as pd in this code import pandas as pd # make a dictionary containing students data data = { 'Name': ['Ankit', 'Aishwarya', 'Shaurya', 'Shivangi'], 'Gender' : ['M','F','M','F'], 'Age': [23, 21, 22, 21], 'Course': ['B.tech', 'B.tech', 'B.sc', 'B.sc'], 'Branch': ['Cse','Cse','It','It'], 'College': ['Geu','Geu','Gehu','Gehu'], } # Convert the given dictionary into pandas DataFrame df = pd.DataFrame(data, columns = ['Name','Gender', 'Age', 'Course','Branch', 'College']) # print the pandas Dataframe print("Given Dataframe :\n", df) # reordering of the columns using reindex() rslt_df = df.reindex(columns= ['Name', 'Age','Gender' ,'College','Course','Branch' ]) # print the pandas DataFrame print("\nDataframe after Re-ordering of columns :\n", rslt_df) |
Output :
Given Dataframe :
Name Gender Age Course Branch College
0 Ankit M 23 B.tech Cse Geu
1 Aishwarya F 21 B.tech Cse Geu
2 Shaurya M 22 B.sc It Gehu
3 Shivangi F 21 B.sc It GehuDataframe after Re-ordering of columns :
Name Age Gender College Course Branch
0 Ankit 23 M Geu B.tech Cse
1 Aishwarya 21 F Geu B.tech Cse
2 Shaurya 22 M Gehu B.sc It
3 Shivangi 21 F Gehu B.sc It
Using column selection through column name
We can use column selection through column name of DataFrame to reorder the column.
Here is an example:
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# import pandas package as pd in this code import pandas as pd # make a dictionary containing students data data = { 'Name': ['Ankit', 'Aishwarya', 'Ankita', 'Swapnil'], 'Gender' : ['M','F','F','M'], 'Age': [23, 21, 22, 21], 'Course': ['B.tech', 'B.tech', 'B.sc', 'B.sc'], 'Branch': ['Cse','Cse','It','It'], 'College': ['Geu','Geu','Gehu','Gehu'], } # Convert the given dictionary into pandas DataFrame df = pd.DataFrame(data, columns = ['Name','Gender', 'Age', 'Course','Branch', 'College']) # print the pandas Dataframe print("Given Dataframe :\n", df) # reordering of the columns by using column selection rslt_df = df[['Name','Gender' ,'Age','College','Course','Branch' ]] # print the pandas DataFrame print("\nDataframe after Re-ordering of columns :\n", rslt_df) |
Output :
Given Dataframe :
Name Gender Age Course Branch College
0 Ankit M 23 B.tech Cse Geu
1 Aishwarya F 21 B.tech Cse Geu
2 Ankita F 22 B.sc It Gehu
3 Swapnil M 21 B.sc It GehuDataframe after Re-ordering of columns :
Name Gender Age College Course Branch
0 Ankit M 23 Geu B.tech Cse
1 Aishwarya F 21 Geu B.tech Cse
2 Ankita F 22 Gehu B.sc It
3 Swapnil M 21 Gehu B.sc It
Using column selection through column index
We can use column selection through column index of DataFrame to reorder the column.
Here is an example:
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# import pandas package as pd in this code import pandas as pd # make a dictionary containing students data data = { 'Name': ['Ankit', 'Aishwarya', 'Ankita', 'Swapnil'], 'Gender' : ['M','F','F','M'], 'Age': [23, 21, 22, 21], 'Course': ['B.tech', 'B.tech', 'B.sc', 'B.sc'], 'Branch': ['Cse','Cse','It','It'], 'College': ['Geu','Geu','Gehu','Gehu'], } # Convert the given dictionary into pandas DataFrame df = pd.DataFrame(data, columns = ['Name','Gender', 'Age', 'Course','Branch', 'College']) # print the pandas Dataframe print("Given Dataframe :\n", df) # reordering of the columns by use of column index. rslt_df = df[df.columns[[5,4,3,2,1,0]]] # print the pandas DataFrame print("\nDataframe after Re-ordering of columns :\n", rslt_df) |
Output :
Given Dataframe :
Name Gender Age Course Branch College
0 Ankit M 23 B.tech Cse Geu
1 Aishwarya F 21 B.tech Cse Geu
2 Ankita F 22 B.sc It Gehu
3 Swapnil M 21 B.sc It GehuDataframe after Re-ordering of columns :
College Branch Course Age Gender Name
0 Geu Cse B.tech 23 M Ankit
1 Geu Cse B.tech 21 F Aishwarya
2 Gehu It B.sc 22 F Ankita
3 Gehu It B.sc 21 M Swapnil
That’s all about how to reorder the columns of pandas dataframe in Python.
