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How to read a .xlsx file using the pandas Library?

Given a .xlsx file, we have to read it using the pandas Library.
Submitted by Pranit Sharma, on June 11, 2022

effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structures in pandas. DataFrames consist of rows, columns, and the data.

Pandas DataFrames can be created with the help of dictionaries or arrays but in real-world analysis, first, a CSV file or an xlsx file is imported and then the content of CSV or excel file is converted into a DataFrame.

An xlsx file is a spreadsheet file that can be created with certain software, especially with the popularly known MS Excel. To import an Excel file, we use the following piece of code:

pd.ExcelFile(Path_of_the_file')

To work with pandas, we need to import pandas package first, below is the syntax:

import pandas as pd

Let us understand with the help of an example,

# Importing pandas package
import pandas as pd

# Reading an xlsx file
data = pd.read_excel("D:/Book1.xlsx")

# Display data
print("Records from the Excel sheet:\n",data)

Output:

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