[python] Pandas Merging 101

In this answer, I will consider practical examples.

The first one, is of pandas.concat.

The second one, of merging dataframes from the index of one and the column of another one.


1. pandas.concat

Considering the following DataFrames with the same column names:

Preco2018 with size (8784, 5)

DataFrame 1

Preco 2019 with size (8760, 5)

DataFrame 2

That have the same column names.

You can combine them using pandas.concat, by simply

import pandas as pd

frames = [Preco2018, Preco2019]

df_merged = pd.concat(frames)

Which results in a DataFrame with the following size (17544, 5)

DataFrame result of the combination of two dataframes

If you want to visualize, it ends up working like this

How concat works

(Source)


2. Merge by Column and Index

In this part, I will consider a specific case: If one wants to merge the index of one dataframe and the column of another dataframe.

Let's say one has the dataframe Geo with 54 columns, being one of the columns the Date Data, which is of type datetime64[ns].

enter image description here

And the dataframe Price that has one column with the price and the index corresponds to the dates

enter image description here

In this specific case, to merge them, one uses pd.merge

merged = pd.merge(Price, Geo, left_index=True, right_on='Data')

Which results in the following dataframe

enter image description here

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