How to use pandas In Python
In this method we first initializes a list named test_list and a boolean list named bool_list. It then creates a pandas series from the original list using pd.Series() function and filters the series using boolean indexing with bool_list. The resulting filtered series is then converted back to a list using the tolist() function, and the final filtered list is printed using the print() function.
Python3
import pandas as pd# initializing listtest_list = [1, 2, 3, 4]# printing listprint("The original list : " + str(test_list))# initializing Boolean listbool_list = [True, False, True, False]# printing boolean listprint("The bool list is : " + str(bool_list))# create a pandas series from the original listseries = pd.Series(test_list)# filter the series by the boolean listfiltered_series = series[bool_list]# convert the filtered series back to a listres = filtered_series.tolist()# Printing resultprint("List after filtering is : " + str(res)) |
Output:
The original list : [1, 2, 3, 4] The bool list is : [True, False, True, False] List after filtering is : [1, 3]
Time complexity: O(n), where n is the length of the original list
Auxiliary Space: O(n), where n is the length of the original list
Python | Filter list by Boolean list
Sometimes, while working with a Python list, we can have a problem in which we have to filter a list. This can sometimes, come with variations. One such variation can be filtered by the use of a Boolean list. Let’s discuss a way in which this task can be done.
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