﻿ Pandas: Remove infinite values from a given DataFrame - w3resource

# Pandas: Remove infinite values from a given DataFrame

## Pandas: DataFrame Exercise-52 with Solution

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
```

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]
```