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)
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
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
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
Previous: Get floating division of series and other in Pandas
Next: Modulo of Pandas series
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://w3resource.com/pandas/series/series-floordiv.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics