Mastering Excel Data Manipulation with Python

Python provides an awesme feature can access Excel spreadsheet file that based on pandas.

You can use the pandas library in Python to read an Excel file and store its data into a Python array. Here's a basic example:

import pandas as pd

# Read the Excel file into a pandas DataFrame
df = pd.read_excel('your_excel_file.xlsx')

# Convert the DataFrame to a Python array
data_array = df.values

print(data_array)

Replace 'your_excel_file.xlsx' with the path to your Excel file. This code will read the Excel file and store its contents into a Python array named data_array. Each row in the Excel file will be a sub-array within data_array.

If you want to read a specific sheet from the Excel file, you can specify the sheet name or index using the sheet_name parameter of read_excel() function.

For example, to read the first sheet:

df = pd.read_excel('your_excel_file.xlsx', sheet_name=0)

Or to read a sheet named "Sheet1":

df = pd.read_excel('your_excel_file.xlsx', sheet_name='Sheet1')

Remember to install pandas if you haven't already by running pip install pandas in your terminal.