pandas 使用xlsxwriter格式化多个工作表代码中有几个问题：writer对象需要传递给Excel_formatting()函数，writer不应该在该函数中关闭，并且在标题、字幕和变量名中有一些打字错误。下面是一个修正了这些问题的工作示例。我添加了示例 Dataframe ，您可以用groupby()代码替换它。
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']...
writer = pandas.ExcelWriter(destination,engine = 'xlsxwriter') color = Answer.style.applymap(lambda x: 'color: red' if x == "Fail" else 'color: green',subset= pandas.IndexSlice[:,['Pass/Fail']]) color.to_excel(writer,'sheet1') 我试过 StyleFrame 但安装失败。似乎 StyleFrame 不符合我...
read_excel('path_to_excel_file.xlsx', sheet_name='sheet_name') # 修改数据 df['Column1'] = df['Column1'] + 10 # 将修改后的数据保存回工作表 with pd.ExcelWriter('path_to_excel_file.xlsx', engine='openpyxl') as writer: writer.book = workbook df.to_excel(writer, sheet_name='...
pandas,pd.ExcelWriter保存结果到已存在的excel文件中 背景:pandas支持将DataFrame数据直接保存到excel中 保存的case如下: import pandas as pd with pd.ExcelWriter('a.xls') as writer: df1.to_excel(writer, 'sheet1') df2.to_excel(writer, 'sheet2') 结果:新生成的结果sheet1和sheet2生成后,会将原有...
def fmt_excel(writer, sheetname, dataframe): # Get the workbook and the summary sheet so we can add the formatting workbook = writer.book worksheet = writer.sheets[sheetname] col_count = dataframe.shape[1] row_count = dataframe.shape[0] col_names = [] for i in range(0, col_count)...
Excel 文件 可通过 pip install "pandas[excel]" 进行安装。 依赖项 最低版本 pip 额外 注释 xlrd 2.0.1 excel 读取Excel xlsxwriter 3.0.5 excel 写入Excel openpyxl 3.1.0 excel 读取/写入 xlsx 文件 pyxlsb 1.0.10 excel 读取xlsb 文件 python-calamine 0.1.7 excel 读取xls/xlsx/xlsb/ods 文件 HTML 可...
writer.save() #若excel文件格式为.xls需用xlrd及xlutils.copy打开已存在的excel,写入多个sheet且不覆盖原数据 importxlrd fromxlutils.copyimportcopy writer = pd.ExcelWriter(r'C:\Users\Administrator\Desktop\test2.xls') data = xlrd.open_workbook(writer.path, formatting_info=True) ...
Being able to effectively export your Pandas DataFrames to Excel is a crucial skill for any data professional working in Python. The methods that I explained in this tutorial are: use Pandas to_excel(), ExcelWriter for multiple sheets, customize Excel output with formatting, write a DataFrame ...
如果您想将多个DataFrame写入同一个Excel文件的不同工作表中,可以使用ExcelWriter对象。首先,创建一个ExcelWriter对象: writer = pd.ExcelWriter('output.xlsx') 然后,将DataFrame写入不同的工作表: df1.to_excel(writer, sheet_name='Sheet1', index=False, header=True) df2.to_excel(writer, sheet_name='...