I want to change the column labels of a Pandas DataFrame from ['$a', '$b', '$c', '$d', '$e'] to ['a', 'b', 'c', 'd', 'e']

 

You can change the column labels of a Pandas DataFrame using the .columns attribute and the .rename() method. Here's how you can change the column labels from ['$a', '$b', '$c', '$d', '$e'] to ['a', 'b', 'c', 'd', 'e']:

python

import pandas as pd

# Create a DataFrame with initial column labels
data = {'$a': [1, 2], '$b': [3, 4], '$c': [5, 6], '$d': [7, 8], '$e': [9, 10]}
df = pd.DataFrame(data)

# Display the original DataFrame
print("Original DataFrame:")
print(df)

# Change the column labels
new_columns = ['a', 'b', 'c', 'd', 'e']
df.columns = new_columns

# Display the DataFrame with new column labels
print("\nDataFrame with New Column Labels:")
print(df)

In this example, the .columns attribute is used to directly modify the column labels of the DataFrame. After changing the column labels to ['a', 'b', 'c', 'd', 'e'], you will see the updated DataFrame.

Output:

bash

Original DataFrame:
   $a  $b  $c  $d  $e
0   1   3   5   7   9
1   2   4   6   8  10

DataFrame with New Column Labels:
   a  b  c  d   e
0  1  3  5  7   9
1  2  4  6  8  10

Now, the column labels have been changed to 'a', 'b', 'c', 'd', and 'e'.