python xlsxwriter：添加表时将标头保留在Excel中

Question

我有一个熊猫数据框，我将其写入xslx文件，并希望在该数据上添加一个表。我还想保留已经编写的标题，而不是再次添加它们。那可能吗？

例：

import pandas as pd
import xlsxwriter as xw

# random dataframe
d = {'one' : pd.Series([1., 2., 3.], index=['a', 'b', 'c']), 'two' : pd.Series([5., 6., 7., 8.], index=['a', 'b', 'c', 'd'])}
df = pd.DataFrame(d)


# write data to file
writer = pd.ExcelWriter("test.xlsx", engine='xlsxwriter')
df.to_excel(writer,"sheet without table")
df.to_excel(writer,"sheet with table")
df.to_excel(writer,"sheet with table and header")

# get sheets to add the tables
workbook  = writer.book
worksheet_table = writer.sheets['sheet with table']
worksheet_table_header = writer.sheets['sheet with table and header']

# the range in which the table is
end_row = len(df.index)
end_column = len(df.columns)
cell_range = xw.utility.xl_range(0, 0, end_row, end_column)


# add the table that will delete the headers
worksheet_table.add_table(cell_range,{'header_row': True,'first_column': True})

######################################
# The hack

# Using the index in the Table
df.reset_index(inplace=True)
header = [{'header': di} for di in df.columns.tolist()]
worksheet_table_header.add_table(cell_range,{'header_row': True,'first_column': True,'columns':header})

writer.save()

Answer 1

这个怎么样（请注意，仅当数据框包含 NA 时才需要“选项”）：

import pandas as pd
import xlsxwriter

# random dataframe
d = {'one':pd.Series([1., 2., 3.]), 'two':pd.Series([5., 6., 7., 8.])}
df = pd.DataFrame(d)

workbook = xlsxwriter.Workbook('test.xlsx', options={'nan_inf_to_errors': True})
worksheet = workbook.add_worksheet('sheet1')
worksheet.add_table(0, 0, df.shape[0], df.shape[1]-1,
    {'data': df.values.tolist(),
    'columns': [{'header': c} for c in df.columns.tolist()],
    'style': 'Table Style Medium 9'})
workbook.close()

Answer 2

hack /解决是唯一的选择（如@jmcnamara所示）。简而言之是：

import pandas as pd
import xlsxwriter as xw

# random dataframe
d = {'one' : pd.Series([1., 2., 3.], index=['a', 'b', 'c']), 'two' : pd.Series([5., 6., 7., 8.], index=['a', 'b', 'c', 'd'])}
df = pd.DataFrame(d)


# write data to file
writer = pd.ExcelWriter("test.xlsx", engine='xlsxwriter')
df.to_excel(writer,"sheet with table and header")

# get sheets to add the tables
workbook  = writer.book
worksheet_table_header = writer.sheets['sheet with table and header']

# the range in which the table is
end_row = len(df.index)
end_column = len(df.columns)
cell_range = xw.utility.xl_range(0, 0, end_row, end_column)

######################################
# The hack

# Using the index in the Table
df.reset_index(inplace=True)
header = [{'header': di} for di in df.columns.tolist()]
worksheet_table_header.add_table(cell_range,{'header_row': True,'first_column': True,'columns':header})

writer.save()