Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas Series.floordiv() function returns the integer division of series and other, element-wise (binary operator floordiv). The operation is equivalent to series // other, but with support to substitute a fill_value for missing data in one of the inputs
Syntax: Series.floordiv(other, level=None, fill_value=None, axis=0)
Parameter :
other : Series or scalar value
fill_value : Fill existing missing (NaN) values, and any new element needed for successful Series alignment, with this value before computation.
level : Broadcast across a level, matching Index values on the passed MultiIndex levelReturns : result : Series
Example #1: Use Series.floordiv() function to perform floor division operation of a series object with a scalar.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series([10, 25, 3, 25, 24, 6])   # Create the Index index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']   # set the index sr.index = index_   # Print the series print(sr) |
Output :
Now we will use Series.floordiv() function to perform the floor division of a given series object with a scalar.
# perform floor division result = sr.floordiv(other = 3) Â Â # Print the result print(result) |
Output :
As we can see in the output, the Series.floordiv() function has successfully returned the result of floor division of the given series object with a scalar.
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Example #2 : Use Series.floordiv() function to perform floor division operation of a series object with a scalar. The given series object contains some missing values.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series([11, 21, 8, 18, 65, None, 32, 10, 5, 24, None])   # Create the Index index_ = pd.date_range('2010-10-09', periods = 11, freq ='M')   # set the index sr.index = index_   # Print the series print(sr) |
Output :
Now we will use Series.floordiv() function to perform the floor division of a given series object with a scalar. We are going to fill 30 at the place of all the missing values.
# perform floor division result = sr.floordiv(other = 3, fill_value = 30) Â Â # Print the result print(result) |
Output :
As we can see in the output, the Series.floordiv() function has successfully returned the result of floor division of the given series object with a scalar.
