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A simple way to store big data sets is to use CSV files (comma separated files). CSV files contains plain text and is a well know format that can be read by everyone including Pandas. In our examples we will be using a CSV file called ‘data.csv’.
import pandas as pd df = pd.read_csv('data.csv')
A simple way to store big data sets is to use Excel files. Excel files contains row and column Data. In our examples we will be using a CSV file called ‘data.xlsx’.
newData = pds.read_excel(file) print(newData)