Pandas float division by zero

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Pandas Float Division by Zero

When performing division operations on float values in Pandas, you may encounter a division by zero error. This error occurs when you attempt to divide a number by zero, which is mathematically undefined.

By default, Pandas returns the value inf (infinity) for division by zero. However, you can choose to handle these cases differently by using the fillna() method.

Example:

Let’s consider a simple example with a Pandas DataFrame:

    import pandas as pd
    
    data = {'A': [1.0, 2.0, 3.0, 4.0],
            'B': [0.0, 2.0, 1.0, 0.0]}
    
    df = pd.DataFrame(data)
    division_result = df['A'] / df['B']
    print(division_result)

The output of this code will be:

    0         inf
    1    1.000000
    2    3.000000
    3         inf
    dtype: float64

As you can see, the division by zero results in inf values in the resulting Series.

If you want to handle the division by zero error differently, you can use the fillna() method to replace the inf values with another value of your choice. For example, you can replace them with NaN:

    division_result = division_result.fillna(float('NaN'))
    print(division_result)

The updated output will be:

    0    NaN
    1    1.0
    2    3.0
    3    NaN
    dtype: float64

Now the inf values have been replaced with NaN.

This allows you to handle the division by zero error in a more controlled manner.

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