import pandas as pd """ pandas学习 """ true = True false = False none = None null =None datas = [ { "customerCategoryCode": "1002", "customerCategoryId": "6U58C261UR70027", "customerCategoryIsLeaf": true, "customerCategoryName": "B类客户", "revenueAmount": 11111.1 }, { "customerCategoryCode": "1001", "customerCategoryId": "6U58C261UR70026", "customerCategoryIsLeaf": true, "customerCategoryName": "A类客户", "revenueAmount": 5555.55 } ] #将字典列表转换为DataFrame pf = pd.DataFrame(datas) print(pf) print(pf["customerCategoryName"]) # 指定字段内容和顺序 order = ["revenueAmount","customerCategoryName","customerCategoryCode"] pf = pf[order] print(pf) #重命名表头 columns_map = { "revenueAmount":"金额", "customerCategoryName":"客户类型", "customerCategoryCode":"编号" } pf.rename(columns=columns_map,inplace=True) print(pf) #输出行号 for j in pf.index: print(f"行号:{j}") #插入列 , value=a 、 value=['a','b'] for i, value in enumerate(order): pf.insert(2 * i, f'表头{value}', ['a','b']) print(pf) #输出excel pf.to_excel('0208.xlsx',sheet_name='sheet',encoding = 'utf-8',index = False) def export_excel(export,excel_name): """ 将字典列表导出为Excel文件的方法 :param export: 字典列表 :param excel_name: excel名称 :return: """ # 将字典列表转换为DataFrame pf = pd.DataFrame(list(export)) # 指定字段顺序 order = ['caseid','page','casename','target','targetKey','expect','actual','result'] pf = pf[order] columns_map = { 'caseid': '用例id', 'page': '页面', 'casename': '用例名称', 'target': '指标', 'targetKey': '指标key', 'expect': '期望值', 'actual': '实际值', 'result': '结果'} #重命名表头 pf.rename(columns=columns_map,inplace=True) # 指定生成的Excel表格名称 file_path = pd.ExcelWriter(excel_name) #替换空单元格 pf.fillna(' ',inplace = True) #输出 pf.to_excel(file_path,sheet_name='sheet',encoding = 'utf-8',index = False) #保存 file_path.save()
标签:customerCategoryName,python,excel,pf,使用,print,pandas,columns,name From: https://www.cnblogs.com/shuzf/p/17101633.html