How to read data from excel file in python

To read Excel data in Python, you can use Pandas or xlrd library. Pandas method: 1. Import Pandas; 2. Read the Excel file; 3. View the data. xlrd method: 1. Import xlrd; 2. Open the Excel file; 3. Get the worksheet; 4. Traverse rows and columns to get values. Other libraries include OpenPyXL, XlsxWriter, and PyExcelerate, and choosing the right one depends on your specific needs.

How to use Python to read data from Excel files

Python provides a variety of libraries for processing Excel files , the most commonly used libraries are Pandas and xlrd.

Use Pandas to read Excel data

import pandas as pd

# 读取 Excel 文件
df = pd.read_excel('my_excel_file.xlsx', sheet_name='Sheet1')

# 查看数据
print(df)

Use xlrd to read Excel data

import xlrd

# 打开 Excel 文件
workbook = xlrd.open_workbook('my_excel_file.xlsx')

# 获取工作表
sheet = workbook.sheet_by_index(0)  # 第一个工作表

# 遍历行和列
for row in range(sheet.nrows):
    for col in range(sheet.ncols):
        value = sheet.cell_value(row, col)
        print(value)

Other methods

In addition to Pandas and xlrd, there are some other Python libraries for reading Excel files, including:

• OpenPyXL
• XlsxWriter
• PyExcelerate

Choose the right library

Choosing the right library depends on the specifics of the operation you want to perform. Pandas is typically used for data analysis, while xlrd is better suited for reading and processing smaller Excel files.

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