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Pandas: Rename a specific column name in a given DataFrame

Pandas: DataFrame Exercise-42 with Solution

Write a Pandas program to rename a specific column name in 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 second column:
col1 Column2 col3
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=df.rename(columns = {'col2':'Column2'})
print("New DataFrame after renaming second column:")
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 second column:
   col1  Column2  col3
0     1        4     7
1     2        5     8
2     3        6     9              

Python-Pandas Code Editor:

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Python: Tips of the Day

Inserting if statements using conditional list comprehensions:

x = [1, 2, 3, 4, 5, 6]
result = []
for idx in range(len(x)):
    if x[idx] % 2 == 0:
        result.append(x[idx] * 2)
    else:
        result.append(x[idx])
result

Output:

[1, 4, 3, 8, 5, 12]
[(element * 2 if element % 2 == 0 else element) for element in x]

Output:

[1, 4, 3, 8, 5, 12]
[element * 2 for element in x if element % 2 == 0]

Output:

[4, 8, 12]