How to reindex Pandas Series and DataFrames?
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How to reindex Pandas Series and DataFrames?

How to reindex Pandas Series and DataFrames?

This recipe helps you reindex Pandas Series and DataFrames

Recipe Objective

While working on a dataset we sometimes needs to change the index of rows or column. So making a new dataframe for this may not be possible.

This python source code does the following:
1. Creates your own data dictionary and converts it into dataframe
2. Imputes the missing values
3. Re-indexes your dataframe

So this is the recipe on we can reindex Pandas Series and DataFrame

Step 1 - Import the library

import pandas as pd

We have only imported pandas which is needed.

Step 2 - Setting up the Data

We have created a dictionary of data and passed it in pd.DataFrame to make a dataframe with columns 'first_name', 'last_name', 'age', 'Comedy_Score' and 'Rating_Score'. raw_data = {'first_name': ['Sheldon', 'Raj', 'Leonard', 'Howard', 'Amy'], 'last_name': ['Copper', 'Koothrappali', 'Hofstadter', 'Wolowitz', 'Fowler'], 'age': [42, 38, 36, 41, 35], 'Comedy_Score': [9, 7, 8, 8, 5], 'Rating_Score': [25, 25, 49, 62, 70]} df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'Comedy_Score', 'Rating_Score']) print(df)

Step 3 - Reindexing the DataFrame

Here we will be reindexing both rows and column. First we have used df.reindex function to change the index of rows and then we have defined an object to set the list of column names for reindexing and we have passed that list into the function df.reindex to change the index of columns. print(df.reindex([4, 3, 2, 1, 0])) col_Title = ['last_name', 'first_name', 'Comedy_Score' , 'Rating_Score', 'age'] print(df.reindex(columns=col_Title)) So the output comes as

  first_name     last_name  age  Comedy_Score  Rating_Score
0    Sheldon        Copper   42             9            25
1        Raj  Koothrappali   38             7            25
2    Leonard    Hofstadter   36             8            49
3     Howard      Wolowitz   41             8            62
4        Amy        Fowler   35             5            70

  first_name     last_name  age  Comedy_Score  Rating_Score
4        Amy        Fowler   35             5            70
3     Howard      Wolowitz   41             8            62
2    Leonard    Hofstadter   36             8            49
1        Raj  Koothrappali   38             7            25
0    Sheldon        Copper   42             9            25

      last_name first_name  Comedy_Score  Rating_Score  age
0        Copper    Sheldon             9            25   42
1  Koothrappali        Raj             7            25   38
2    Hofstadter    Leonard             8            49   36
3      Wolowitz     Howard             8            62   41
4        Fowler        Amy             5            70   35

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