In the above example, we had taken a look at how to rename column(s) of a DataFrame in pandas, and now in this example, we see how to rename the index names.
Again, we will make use of the DataFrame.rename function.
Example:
import pandas as pd
code2care_data = {
'Year': [2020, 2021, 2022, 2023],
'Country': ['United States', 'India', 'United Kingdom', 'Germany'],
'City': ['New York', 'Mumbai', 'London', 'Berlin'],
'Mobile': [312125, 2234010, 150125, 413822],
'Desktop': [353871, 427896, 374675, 258976],
'Search Engine': ['Google', 'Bing', 'Google', 'Yahoo']
}
df = pd.DataFrame(code2care_data)
print("\nDataFrame before renaming Column Names:")
print(df)
# Renaming the indexes
new_index_names = {
0: 'Row 1',
1: 'Row 2',
2: 'Row 3',
3: 'Row 4'
}
df = df.rename(index=new_index_names)
print("\nDataFrame after renaming Index:")
print(df)
Output:
DataFrame before renaming Index Names:
Year Country City Mobile Desktop Search Engine
0 2020 United States New York 312125 353871 Google
1 2021 India Mumbai 2234010 427896 Bing
2 2022 United Kingdom London 150125 374675 Google
3 2023 Germany Berlin 413822 258976 Yahoo
DataFrame after renaming Indexes:
Year Country City Mobile Desktop Search Engine
Row 1 2020 United States New York 312125 353871 Google
Row 2 2021 India Mumbai 2234010 427896 Bing
Row 3 2022 United Kingdom London 150125 374675 Google
Row 4 2023 Germany Berlin 413822 258976 Yahoo
Read More: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.rename.html
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Author Info:
Rakesh (He/Him) has over 14+ years of experience in Web and Application development. He is the author of insightful How-To articles for Code2care.
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