从数据框字典创建 Excel 个表

Question

我有数据框字典。

dd = {
'table': pd.DataFrame({'Name':['Banana'], 'color':['Yellow'], 'type':'Fruit'}),
'another_table':pd.DataFrame({'city':['Atlanta'],'state':['Georgia'], 'Country':['United States']}),
'and_another_table':pd.DataFrame({'firstname':['John'], 'middlename':['Patrick'], 'lastnme':['Snow']}),
     }

我想创建一个 Excel 文件，其中包含从这些数据帧创建的 Excel Table 个对象。每个 Table 都需要位于单独的 Tab/Sheet 上，并且 Table 名称应与数据框名称相匹配。

这可能与 Python 相关吗？

到目前为止，我只能正常将数据导出到 Excel，而没有使用 xlsxwriter

转换为表格

writer = pd.ExcelWriter('Results.xlsx', engine='xlsxwriter')

for sheet, frame in  dd.items():
    frame.to_excel(writer, sheet_name = sheet)

writer.save()

Answer 1

要从 Pandas 写入多个工作表，请使用 openpyxl 库。另外，为防止覆盖，每次更新前设置工作簿表。

试试这个代码：

import pandas as pd
import openpyxl

dd = {
'table': pd.DataFrame({'Name':['Banana'], 'color':['Yellow'], 'type':'Fruit'}),
'another_table':pd.DataFrame({'city':['Atlanta'],'state':['Georgia'], 'Country':['United States']}),
'and_another_table':pd.DataFrame({'firstname':['John'], 'middlename':['Patrick'], 'lastnme':['Snow']}),
}

filename = 'Results.xlsx'  # must exist

wb = openpyxl.load_workbook(filename)

writer = pd.ExcelWriter(filename, engine='openpyxl')

for sheet, frame in  dd.items():
    writer.sheets = dict((ws.title, ws) for ws in wb.worksheets) # need this to prevent overwrite
    frame.to_excel(writer, index=False, sheet_name = sheet)

writer.save()

# convert data to tables
wb = openpyxl.load_workbook(filename)
for ws in wb.worksheets:
   mxrow = ws.max_row
   mxcol = ws.max_column
   tab = openpyxl.worksheet.table.Table(displayName=ws.title, ref="A1:" + ws.cell(mxrow,mxcol).coordinate)
   ws.add_table(tab)

wb.save(filename)

输出

从数据框字典创建 Excel 个表

Create Excel Tables from Dictionary of Dataframes

python

dictionary

export-to-excel

openpyxl

xlsxwriter