Pandas: Remove infinite values from a given DataFrame

Last update on September 06 2025 12:49:21 (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.

Go to:

PREV : Convert Column DataType.
NEXT : Insert Column at Specific Index.

Python-Pandas Code Editor:

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