Overview:
- Using le() function of Series class, it can be determined that whether the values present in a pandas Series is less than or equal to the values present in an another pandas Series.
- The Series.le() function returns a Boolean value for each comparison of the elements from the two Series instances.
- The le() function is a variant for the less than or equal to operator (“<=”). The le() function is convenient when replacing any NaN/None values present in the Series instances.
Example:
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# Example Python program to compare two pandas Series instances using le() function import pandas as pds
# Marks obtained in Semester 1 series1 = pds.Series([70, 67, 75, 80, 85, 90]);
# Marks obtained in Semester 2 series2 = pds.Series([74, 71, 69, 70, 85, 94]);
# Compare whether marks obtained in second semester is less than or equal to # the marks obtained in the first semester lessThanResults = series1.le(series2); print("Contents of series1:"); print(series1);
print("Contents of series2:") print(series2);
print("Result of comparing series1 and series2 using le():"); print(lessThanResults); |
Output:
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Contents of series1: 0 70 1 67 2 75 3 80 4 85 5 90 dtype: int64 Contents of series2: 0 74 1 71 2 69 3 70 4 85 5 94 dtype: int64 Result of comparing series1 and series2 using le(): 0 True 1 True 2 False 3 False 4 True 5 True dtype: bool |