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How to use the isin function on a dataframe in pandas
What is a dataframe?
Dataframe is a commonly used two-dimensional data structure. It is a table with columns and rows and is mostly used as a pandas object.
It requires the pandas library as shown below.
import pandas as pd
A dataframe can be formed as shown below. The following is a dataframe that contains countries that have been put in different groups and are given different a_score and b_scores. Both the scores are imaginary values for the purpose of this example.
import pandas as pda_score = [4, 5, 7, 8, 2, 3, 1, 6, 9, 10]b_score = [1, 2, 3, 4, 5, 6, 7, 10, 8, 9]country = ['Pakistan', 'USA', 'Canada', 'Brazil', 'India', 'Beligium', 'Malaysia', 'Peru', 'England', 'Scotland']groups = ['A','A','B','A','B','B','C','A','C','C']df = pd.DataFrame({'group':groups, 'country':country, 'a_score':a_score, 'b_score':b_score})print(df)
isin function
The isin function is an advanced filtering method. It allows filtering of values based on another list of choices that have been selected.
Prototype
The function prototype is as follows.
selection = ['Pakistan','USA','Belgium']
df[df.country.isin(selection)]
Parameter
The selected filter is the parameter for this function.
Return value
This function returns the filtered values.
Code
import pandas as pda_score = [4, 5, 7, 8, 2, 3, 1, 6, 9, 10]b_score = [1, 2, 3, 4, 5, 6, 7, 10, 8, 9]country = ['Pakistan', 'USA', 'Canada', 'Brazil', 'India', 'Belgium', 'Malaysia', 'Peru', 'England', 'Scotland']groups = ['A','A','B','A','B','B','C','A','C','C']df = pd.DataFrame({'group':groups, 'country':country, 'a_score':a_score, 'b_score':b_score})selection = ['Pakistan','USA','Belgium']print(df[df.country.isin(selection)])
RELATED TAGS
pandas
python
dataframe
datastructure
CONTRIBUTOR
Sheza Naveed
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