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Pandas Series: floordiv() function

Integer division of series in Pandas

The floordiv() function is used to get integer division of series and other, element-wise (binary operator floordiv).

Syntax:

Series.floordiv(self, other, level=None, fill_value=None, axis=0)
Pandas Series floor division() function

Parameters:

Name Description Type/Default Value Required / Optional
other   Series or scalar value Required
fill_value Fill existing missing (NaN) values, and any new element needed for successful Series alignment, with this value before computation. If data in both corresponding Series locations is missing the result will be missing. None or float value
Default Value: None (NaN)
Required
level Broadcast across a level, matching Index values on the passed MultiIndex level.. int or name Required

Returns: Series
The result of the operation.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
x = pd.Series([1, 2, 3, np.nan], index=['p', 'q', 'r', 's'])
x

Output:

p    1.0
q    2.0
r    3.0
s    NaN
dtype: float64
Pandas Series floor division() function

Python-Pandas Code:

import numpy as np
import pandas as pd
y = pd.Series([2, np.nan, 2, np.nan], index=['p', 'q', 's', 't'])
y

Output:

p    2.0
q    NaN
s    2.0
t    NaN
dtype: float64
Pandas Series floor division() function

Python-Pandas Code:

import numpy as np
import pandas as pd
x = pd.Series([1, 2, 3, np.nan], index=['p', 'q', 'r', 's'])
y = pd.Series([2, np.nan, 2, np.nan], index=['p', 'q', 's', 't'])
x.floordiv(y, fill_value=0)

Output:

p    0.0
q    NaN
r    NaN
s    0.0
t    NaN
dtype: float64

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