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) |
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 agedf.nlargest(5, ['Age']) |
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 Weightdf.nlargest(10, ['Weight']) |
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 Salarydf.nlargest(5, ['Salary']) |
Output:
