http import HttpResponse def upload_excel(request): if request.method == 'POST' and request.FILES['file']: 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...
但是出现了以下错误信息: AttributeError: 'Styler' object has no attribute 'to_csv' 如何解决这个问题? import pandas as pd import datetime def time_formatter(data): return datetime.datetime.strptime(data, "%Y/%m/%d").date().strftime('%Y%m%d') df = pd.DataFrame({'a':[1,2,3], 'b':...
'Another long text that we expect to wrap properly in Excel.', 'Short text.' ], 'age': ['25', '30', '35'] } 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=Fa...
``` import pandas as pd # 读取数据 df = pd.read_csv('data.csv') # 计算每行数据的总和 df['Total'] = df.sum(axis=1) # 导出为Excel文件 df.to_excel('output.xlsx', index=False) ``` 其中,data.csv是原始数据文件,output.xlsx是导出的Excel文件名,可以根据实际情况进行修改。©...
importpandasaspd data={'Name':['John','Jane','Bob'],'Age':[25,30,35],'Gender':['Male','Female','Male']}df=pd.DataFrame(data)filename='data.xlsx'df.to_excel(filename,index=False) 1. 2. 3. 4. 5. 6. 7. 8. 9.
Traceback (most recent call last): File "ipython_log.py", line 19, in <module> pdf.to_excel('test.xls') File "/Volumes/Locodrive/Dev/.virtualenvs/pandasdev/lib/python2.7/site-packages/pandas-0.9.2.dev_c103897-py2.7-macosx-10.8-x86_64.egg/pandas/core/frame.py", line 1343, in to...
df.to_sql('People', con=engine, if_exists='replace', index=False) In this example, we’re writing the DataFrame to a table named ‘People’. Theif_exists='replace'argument tells Pandas to replace the table if it already exists. Theindex=Falseargument tells Pandas not to write the DataF...
pip install pandas pip install openpyxl 1. 2. 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)...
customers_df.to_excel(writer, sheet_name='Customers', index=False) # Query and export the second table query_orders = "SELECT * FROM orders" orders_df = pd.read_sql(query_orders, conn) orders_df.to_excel(writer, sheet_name='Orders', index=False) ...
importpandasaspddf=pd.DataFrame([[1,2],[3,4]])df.style.background_gradient().to_excel("my_wb.xlsx") you get this in Excel: If you feel you can document this better than currently, PRs are welcome and appreciated. keelung-yang commented ...