Use Python to let Excel quickly filter data by conditions

Use Python to let Excel quickly filter data by conditions

This article uses python to quickly filter data in excel

There is a table of product sales for 12 months.

Features of the Python third-party library xlwings required for installation :

• xlwings can easily read and write data in Excel files, and can modify the cell format
• Can be seamlessly connected with Matplotlib and Pandas
• You can call a program written in VBA in an Excel file, or you can make VBA call a program written in Python
• Open source and free, always updated

Import xlwings:

import xlwings as xw

Launch Excel file via Python

1. Open the Excel program

app =xw.App(visible=True,add_book=False)

Among them, the parameter visible (indicating whether the processing process is visible, that is, whether the process of processing Excel will be displayed), add_book (whether to open a new Excel program, that is, whether to open a new excel window).

2. Open Excel file

workbook = app.books.open("2020 XX 公司销售表汇总表.xlsx")

3. Get all forms

sheets_list = workbook.sheets

4. Set filter criteria

select_value = '江西省'
select_value1 = '博士'

5. New Sheet has filtered data

qxs_excel = workbook.sheets.add(select_value)

Custom Python traverse Excel function

1. Create a new data list, add data to the list

range_value_list = []

2. Custom single sheet data reading class

    def readrange(excel):
        for i in range(2,1000): #我的数据每张 Sheet 表最多只有 1000 行，所以设置的是 1000

            #单个表格字符串
            select_sheet_value = "E"+str(i)
            select_sheet_value1 = "C"+str(i)
            #整行表格字符串
            str_sheet1 = "A"+str(i)+":"+"E"+str(i)

            select_value_sheet = excel.range(select_sheet_value).value
            select_value_sheet1 = excel.range(select_sheet_value1).value
            if select_value_sheet == select_value and select_value_sheet1 == select_value1:#这里设置搜索条件判断，这里是表示两个筛选条件同时满足才会存入数据列表
                str_value_row = excel.range(str_sheet1).value
                range_value_list.append(str_value_row)

    for excel in sheets_list:
        readrange(excel)

Write the data into the new summary table

1. Write header data first

  qxs_excel.range("A1:F1").value = ["姓名","级别","学历","薪资","地址"]

2. Cyclic write data list data to summary table

    flag = 1   #因为计算机从 0 开始，0 行已经写入标题，所以这里是 1；如果有多行标题，根据实际情况设置
    for i in range_value_list:
        flag += 1
        #整行表格字符串
        str_sheet1 = "A"+str(flag)+":"+"E"+str(flag)
        qxs_excel.range(str_sheet1).value = i

The effect after running is as follows: