Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns).
Let’s see how can we can get n-largest values from a particular column in Pandas DataFrame.
Observe this dataset first. We’ll use ‘Age’, ‘Weight’ and ‘Salary’ columns of this data in order to get n-largest values from a particular column in Pandas DataFrame.
# importing pandas module import pandas as pd
# making data frame df.head( 10 )
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Code #1: Getting 5 largest Age
# importing pandas module import pandas as pd
# making data frame df = pd.read_csv( "nba.csv" )
# five largest values in column age df.nlargest( 5 , [ 'Age' ])
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Output:
Code #2: Getting 10 maximum weights
# importing pandas module import pandas as pd
# making data frame df = pd.read_csv( "nba.csv" )
# Ten largest values in column Weight df.nlargest( 10 , [ 'Weight' ])
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Output:
Code #3: Getting 10 maximum salary
# importing pandas module import pandas as pd
# making data frame df = pd.read_csv( "nba.csv" )
# five largest values in column Salary df.nlargest( 5 , [ 'Salary' ])
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Output: