How to read excel data in python

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?

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

Detailed steps:

1. Import Pandas library:

<code class="python">import pandas as pd</code>

2. Use the read_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):

<code class="python">data = pd.read_excel('path/to/file.xlsx')</code>

3. Read a specific worksheet:

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

<code class="python">data = pd.read_excel('path/to/file.xlsx', sheet_name='Sheet1')</code>

4. Read specific columns:

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

<code class="python">data = pd.read_excel('path/to/file.xlsx', usecols=['A', 'C'])</code>

5. Stored data:

Read data will be stored in a pandas.DataFrame object, which can be stored in a variable:

<code class="python">df = pd.read_excel('path/to/file.xlsx')</code>

Example:

Read named "example .xlsx" Excel file and store it in the df variable:

<code class="python">import pandas as pd

df = pd.read_excel('example.xlsx', sheet_name='Sheet1')</code>

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