How to read excel data in python

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Release: 2024-03-28 22:45:30
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How to read Excel data in Python? You can easily read Excel data by using the read_excel() function in the Pandas library: Import Pandas library: import pandas as pd Use the read_excel() function to read Excel files: data = pd.read_excel('path/to/file .xlsx') to read a specific worksheet: data = pd.read_excel('path/to/file.xlsx', sheet_name='Sheet1') to read a specific

How to read excel data in python

How to read Excel data in Python

How to read Excel data?

To read Excel data, you can use theread_excel()function in the Pandas library.

Detailed steps:

  1. Import Pandas library:
import pandas as pd
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  1. Use theread_excel()function to read an Excel file:

This function needs to provide the path or file object of the Excel file, and can specify other parameters (such as where to read worksheet or column):

data = pd.read_excel('path/to/file.xlsx')
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  1. Read a specific worksheet:

To read a specific worksheet, please enter insheet_nameSpecify the worksheet name or index in the parameter:

data = pd.read_excel('path/to/file.xlsx', sheet_name='Sheet1')
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  1. Read specific columns:

To read specific columns, Please specify the name or index of the column in theusecolsparameter:

data = pd.read_excel('path/to/file.xlsx', usecols=['A', 'C'])
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  1. Stored data:

Read data will be stored in apandas.DataFrameobject, which can be stored in a variable:

df = pd.read_excel('path/to/file.xlsx')
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Example:

Read named "example .xlsx" Excel file and store it in thedfvariable:

import pandas as pd df = pd.read_excel('example.xlsx', sheet_name='Sheet1')
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