如何使用pandas.to_excel（）创建Excel ** Table **？

Question

需要通过数据框以编程方式实现此目的：

https://docs.microsoft.com/en-us/power-bi/service-admin-troubleshoot-excel-workbook-data

Answer 1

这是使用XlsxWriter的一种方法：

import pandas as pd

# Create a Pandas dataframe from some data.
data = [10, 20, 30, 40, 50, 60, 70, 80]
df = pd.DataFrame({'Rank': data,
                   'Country': data,
                   'Population': data,
                   'Data1': data,
                   'Data2': data})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter("pandas_table.xlsx", engine='xlsxwriter')

# Convert the dataframe to an XlsxWriter Excel object. Turn off the default
# header and index and skip one row to allow us to insert a user defined
# header.
df.to_excel(writer, sheet_name='Sheet1', startrow=1, header=False, index=False)

# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']

# Get the dimensions of the dataframe.
(max_row, max_col) = df.shape

# Create a list of column headers, to use in add_table().
column_settings = []
for header in df.columns:
    column_settings.append({'header': header})

# Add the table.
worksheet.add_table(0, 0, max_row, max_col - 1, {'columns': column_settings})

# Make the columns wider for clarity.
worksheet.set_column(0, max_col - 1, 12)

# Close the Pandas Excel writer and output the Excel file.
writer.save()

输出：

更新：我向XlsxWriter文档添加了一个类似的示例：Example: Pandas Excel output with a worksheet table

Answer 2

如果您不想保存，重新打开和重新保存，另一种解决方法是使用xlsxwriter。它可以直接写入ListObject表，但不能直接从数据框中写入，因此您需要对这些部分进行分解：

import pandas as pd
import xlsxwriter as xl

df = pd.DataFrame({'Col1': [1,2,3], 'Col2': list('abc')})

filename = 'output.xlsx'
sheetname = 'Table'
tablename = 'TEST'

(rows, cols) = df.shape
data = df.to_dict('split')['data']
headers = []
for col in df.columns:
    headers.append({'header':col})

wb = xl.Workbook(filename)
ws = wb.add_worksheet()

ws.add_table(0, 0, rows, cols-1,
    {'name': tablename
    ,'data': data
    ,'columns': headers})

wb.close()

add_table()函数期望'data'作为列表列表，其中每个子列表代表数据帧的一行，而'columns'作为表头的字典列表，其中每一列是由{'header': 'ColumnName'}形式的字典指定。

Answer 3

您无法使用to_excel来做到这一点。一种解决方法是打开生成的xlsx文件，并使用openpyxl在其中添加表：

import pandas as pd

df = pd.DataFrame({'Col1': [1,2,3], 'Col2': list('abc')})

filename = 'so58326392.xlsx'
sheetname = 'mySheet'
with pd.ExcelWriter(filename) as writer:
    if not df.index.name:
        df.index.name = 'Index'
    df.to_excel(writer, sheet_name=sheetname)

import openpyxl
wb = openpyxl.load_workbook(filename = filename)
tab = openpyxl.worksheet.table.Table(displayName="df", ref=f'A1:{chr(len(df.columns)+64)}{len(df)+1}')
wb[sheetname].add_table(tab)
wb.save(filename)

请注意所有表头必须是字符串。如果您有未命名的索引（这是规则），则第一个单元格（A1）将为空，这会导致文件损坏。为避免这种情况，请为您的索引命名（如上所示），或使用以下命令导出不带索引的数据框：

df.to_excel(writer, sheet_name=sheetname, index=False)