How to read a column of Excel data in Python: Pandas library: import the library and read the file. Select the column and store it in the data variable. Openpyxl library: loading files and selecting worksheets. Select the column and loop through the cells, storing the values in the data list.
How to read a column of Excel data in Python
Method 1: Use the Pandas library
Pandas is for data analysis and processing powerful library. To read a column of Excel data using Pandas, you can follow these steps:
import pandas as pd # 读取Excel文件 df = pd.read_excel('file.xlsx') # 选择要读取的一列 column_name = 'Column_Name' data = df[column_name]
data
The variable now contains all the data in the specified column.
Method 2: Use the Openpyxl library
Openpyxl is a library for reading and writing Excel files. To read a column of Excel data using Openpyxl, follow these steps:
import openpyxl # 加载Excel文件 wb = openpyxl.load_workbook('file.xlsx') # 选择要读取的工作表 sheet = wb.active # 选择要读取的一列 column_index = 1 # 根据需要更改列索引 # 遍历列中的所有单元格 data = [] for row in sheet.rows: cell = row[column_index-1] data.append(cell.value)
data
The list now contains all the data in the specified column.
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