Pandas: Remove infinite values from a given DataFrame

Last update on April 03 2025 13:11:22 (UTC/GMT +8 hours)

52. Remove Infinite Values

Write a Pandas program to remove infinite values from a given DataFrame.

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
df = pd.DataFrame([1000, 2000, 3000, -4000, np.inf, -np.inf])
print("Original DataFrame:")
print(df)
print("Removing infinite values:")
df = df.replace([np.inf, -np.inf], np.nan)
print(df)

Sample Output:

Original DataFrame:
             0
0  1000.000000
1  2000.000000
2  3000.000000
3 -4000.000000
4          inf
5         -inf
Removing infinite values:
        0
0  1000.0
1  2000.0
2  3000.0
3 -4000.0
4     NaN
5     NaN           

For more Practice: Solve these Related Problems:

• Write a Pandas program to replace all infinite values in a DataFrame with NaN and then fill them with the column median.
• Write a Pandas program to identify rows containing infinite values and then drop those rows from the DataFrame.
• Write a Pandas program to detect infinite values across multiple columns and replace them with a user-defined constant.
• Write a Pandas program to substitute infinite values in a DataFrame with interpolated values based on neighboring rows.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to convert the datatype of a given column(floats to ints).
Next: Write a Pandas program to insert a given column at a specific column index in a DataFrame.