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Sort Pandas Dataframe and Series - kanoki

In this post we will learn sorting a dataframe and Series using the following functions. a) sort_values b) sort_index c) Categorical Series d) numpy sort and argsort e) Reindex f) And Sorted () function. Let's create a dataframe of 11 counties with their CO2 emission and population and a column for the continent they belong to.

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Introduction
Pandas is an extremely popular data manipulation and analysis library. It's the go-to tool for loading in and analyzing datasets for many.
Correctly sorting data is a crucial element of many tasks regarding data analysis. In this tutorial, we'll take a look at how to sort a Pandas DataFrame by date.
Let's start off with making a simple DataFramewith a few dates:

import pandas as pd

data = {'Name':["John", "Paul", "Dhilan", "Bob", "Henry"],
'Date of Birth': ["01/06/86", "05/10/77", "11/12/88", "25/12/82", "01/06/86"]}
df = pd.DataFrame(data)

print(df)
By default our output is sorted by the DataFrames index:...

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