Series.gt() functionThe pandas Series.gt() function compares two series element by element to see which one is greater, and it returns a boolean value.
The function checks element-wise if the Series a is greater than Series b and returns True. Otherwise, it returns False.
Let’s view the syntax of the method:
Series.gt(other, level=None, fill_value=None, axis=0)
other: This represents the other Series to be compared.
level: This is an optional parameter. The default is None. It specifies the level (in the case of multilevel) to count along.
fill_value: This represents the value to replace the NaN value. If data in both corresponding Series indexes is NaN, then the result of filling at that specific index will be missing.
axis: This specifies on which axis the operation is to be performed. 0 indicates rows and 1 indicates column.
The following code demonstrates how to use the Series.gt() function in pandas:
import pandas as pdimport numpy as np# create Seriesa = pd.Series([7, 12, 9, np.nan, 23, 40, np.nan])b = pd.Series([10, np.nan, 28, 45, 73, 7, np.nan])# value to fill nanreplace_nan = 3# finds the greater element in each Series using Series.gt()print(a.gt(b, fill_value=replace_nan))
In the code above:
Lines 1 and 2: We import the libraries pandas and numpy.
Lines 5: We create a Series a.
Lines 7: We create a series b.
Lines 10: We create a variable replace_nan and assign a value to replace the NaN values in the Series.
Line 13: We compare the elements in Series a and b using the gt() function.
Note: If the element in both corresponding
Seriesindexes isNaN, then thereplace_nanvalue won’t be used.