﻿ Pandas DataFrame: Rename columns of a given DataFrame - w3resource # Pandas DataFrame: Rename columns of a given DataFrame

## Pandas: DataFrame Exercise-23 with Solution

Write a Pandas program to rename columns of a given DataFrame.

Sample data:
Original DataFrame
col1 col2 col3
0 1 4 7
1 2 5 8
2 3 6 9
New DataFrame after renaming columns:
Column1 Column2 Column3
0 1 4 7
1 2 5 8
2 3 6 9

Sample Solution :

Python Code :

``````import pandas as pd
d = {'col1': [1, 2, 3], 'col2': [4, 5, 6], 'col3': [7, 8, 9]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
df.columns = ['Column1', 'Column2', 'Column3']
df = df.rename(columns={'col1': 'Column1', 'col2': 'Column2', 'col3': 'Column3'})
print("New DataFrame after renaming columns:")
print(df)
``````

Sample Output:

```Original DataFrame
col1  col2  col3
0     1     4     7
1     2     5     8
2     3     6     9
New DataFrame after renaming columns:
Column1  Column2  Column3
0        1        4        7
1        2        5        8
2        3        6        9
```

Python Code Editor:

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## Python: Tips of the Day

Dictionary comprehension:

```>>> m = {x: x ** 2 for x in range(5)}
>>> m
{0: 0, 1: 1, 2: 4, 3: 9, 4: 16}
```