Python-openpyxl对excel取消/合并单元格，以及修改单元格值

def write_report(url, excel_name, sheet_name):
    import re
    import ast
    import pandas as pd
    import openpyxl
    from copy import deepcopy

    resp = requests.get(url)
    contents = re.findall('myTable=(.*?);', resp.text)[0]
    all_nums = []
    for content in ast.literal_eval(contents):
        nums = {}
        title = content["title"]
        str = "".join(content["test_result"].split())
        # 实际测试过程中的并发数
        mean_request_sec = float(re.findall('meanrequests/sec(.*?)(', str)[0])
        mean_request_sec = int(mean_request_sec)
        # 最大响应事件
        max_response_time = int(re.findall('maxresponsetime(.*?)(', str)[0])
        # 平均响应事件
        mean_response_time = int(re.findall('meanresponsetime(.*?)(', str)[0])
        nums.update({title: [mean_request_sec, mean_response_time, max_response_time]})
        all_nums.append(nums)
    df = pd.read_excel(excel_name, sheet_name=sheet_name)
    wb = openpyxl.load_workbook(excel_name)
    ws = wb[sheet_name]
    """
    Book = load_workbook(Input_Xlsx_FileName)
    Worksheet = Book['Hoja1']
    Worksheet.unmerge_cells(start_row=1, start_column=1, end_row=2, end_column=2)
    Worksheet.cell(2,2).value = "TOTO"
    """
    # 获取所有的已合并的单元格信息
    # worksheet.merged_cells获取已经合并单元格的信息；再使用worksheet.unmerge_cells()拆分单元格；
    m_list = ws.merged_cells
    cr = []
    for m_area in m_list:
        # 合并单元格的起始行坐标、终止行坐标。。。。，
        r1, r2, c1, c2 = m_area.min_row, m_area.max_row, m_area.min_col, m_area.max_col
        # 纵向合并单元格的位置信息提取出
        if r2 - r1 > 0:
            cr.append((r1, r2, c1, c2))
    # 这里注意需要把合并单元格的信息提取出再拆分
    merge_cr = deepcopy(cr)
    for r in cr:
        ws.unmerge_cells(start_row=r[0], end_row=r[1], start_column=r[2], end_column=r[3])
    wb.save(excel_name)

    # row是行， column是列  清除excel中合并的单元格，下标是从1开始
    # ws.unmerge_cells(start_row=1, start_column=1, end_row=3, end_column=1)
    # row是行， column是列  合并excel中合并的单元格，下标是从1开始
    # ws.merge_cells(start_row=1, start_column=1, end_row=3, end_column=1)
    # 获取最大行，最大列
    ncols = df.columns.size
    nrows = df.shape[0]
    # 遍历逐行逐列
    for iRow in range(nrows):
        for iCol in range(ncols):
            for num in all_nums:
                value = list(num.values())[0]
                if df.iloc[iRow, iCol] == list(num.keys())[0]:
                    # 往excel原有数值处写入数据。行，列下标从1开始
                    ws.cell(iRow + 2, iCol).value = value[2]
                    ws.cell(iRow + 2, iCol-1).value = value[1]
                    ws.cell(iRow + 2, iCol-2).value = value[0]
                    break
    # 合并已拆分得单元格
    for r in merge_cr:
        # worksheet.merge_cells()合并单元格
        ws.merge_cells(start_row=r[0], end_row=r[1], start_column=r[2], end_column=r[3])
    wb.save(excel_name)


if __name__ == '__main__':
    # 测试集报告链接
    url = "https://sep.sensetime.com/common/report/performance/set_2985/2020_05_19_16_12_20_191934.html"
    # excel表名称
    excel_name = "qps.xlsx"
    # excel_sheet分页名称
    sheet_name = "senselink"

    write_report(url, excel_name, sheet_name)