excel_file = request.FILES['file'] df = pd.read_excel(excel_file) #将pandas DataFrame转换为django-import-export可以处理的格式 dataset = df.to_dict(orient='records') # 创建资源对象并导入数据 resource = MyModelResource() imported_data = resource.import_data(dataset, dry_run=False, raise_er...
data = pd.DataFrame({col1:list1,col2:list2}) data.to_excel('sample_data.xlsx', sheet_name='sheet1', index=False) sample_data.xlsxfile: The provided code exports the data from thelist1andlist2columns into thesample_data.xlsxExcel File using Python'sto_excel()function. The data from ...
3.2 编写Python代码 编写一个示例Python代码,演示如何将数据导出到Excel文件中。 importpandasaspd# 创建一个示例数据集data={'Name':['Alice','Bob','Charlie','David'],'Age':[25,30,35,40],'Salary':[50000,60000,70000,80000]}df=pd.DataFrame(data)# 将数据导出到Excel文件df.to_excel('output.xlsx...
df = pd.DataFrame(data) # Save DataFrame to Excel with openpyxl engine with pd.ExcelWriter('output.xlsx', engine='openpyxl') as writer: df.to_excel(writer, index=False, sheet_name='Sheet1') # Load the workbook and select the sheet workbook = writer.book worksheet = workbook['Sheet1']...
Excel是一种流行的电子表格软件,常用于数据分析和可视化。Python中常用的导出数据为Excel文件的方法是使用pandas库。 AI检测代码解析 importpandasaspd data={'Name':['John','Jane','Bob'],'Age':[25,30,35],'Gender':['Male','Female','Male']}df=pd.DataFrame(data)filename='data.xlsx'df.to_excel...
import pandas as pd data = {'Name': ['Tom', 'Jerry'], 'Age': [25, 30]} df = pd.DataFrame(data) df.to_excel('output.xlsx', index=False) ``` 2. 使用openpyxl库导出Excel文件 除了pandas库之外,还可以使用openpyxl库来处理Excel文件。例如: ``` from openpyxl import Workbook wb = Workbo...
(host='192.168.100.11',user='dhani',password='test.1234',database='test')#Create a new querymyquery='select * from Tbl_DHSample order by HoleID, From_m'#Create a new dataframe and load the data into dataframemydataframe=pd.read_sql(myquery,conn)#Export to excelmydataframe.to_excel(...
1', 'Goods 2'], 'Quantity': [100, 200], 'Value': [1000, 2000] } df = pd.DataFrame(data) #将DataFrame导出到Excel文件 excel_path = 'export_customs_declaration_form.xlsx' df.to_excel(excel_path, index=False) print(f"Export Customs Declaration Form has been saved to {excel_path}"...
df_env=trim_columns(df_env)ifisinstance(df_env, pd.DataFrame): # print(df_env.columns.tolist()) question_list=[] answer_list=[]foritemindf_env.itertuples(): print('当前行数据是:\n', item) print(item._fields) print('\n获取行索引:', item.Index) ...
create a writer variable and specify the path in which you wish to store the excel file and the file name, inside the pandas excelwriter function. Example: Write Pandas dataframe to multiple excel sheets. Python3. import pandas as pd. data_frame1 = pd.DataFrame ( {'Fruits': ['Appple'...