Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages.
Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas
nlargest() method is used to get n largest values from a data frame or a series.
Syntax:
DataFrame.nlargest(n, columns, keep='first')
Parameters:
n: int, Number of values to select
columns: Column to check for values or user can select column while calling too. [For example: data["age"].nsmallest(3) OR data.nsmallest(3, "age")]
keep: object to set which value to select if duplicates exit. Options are 'first' or 'last'
To download the CSV file used, Click
Here.
Code #1: Extracting Largest 5 values
In this example, Largest 5 values are extracted and then compared to the other sorted by the sort_values() function. NaN values are removed before trying this method.
Refer
sort_values and
dropna() function.
Output:
👁 Image
Code #2: Sorting by sort_values()
