Python | Pandas DataFrame.nsmallest()
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 nsmallest() method is used to get n least values from a data frame or a series.
Syntax: DataFrame.nsmallest(n, columns, keep=’first’)
n: int, Number of values to select
columns: Column to check for least 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.
Example #1: Extracting Least 5 values
In this example least 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().
Example #2: Sorting by sort_values()
As shown in the output image, the values returned by both functions are similar.
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