以下是可復(fù)制的,并產(chǎn)生所需的輸出。

import xlsxwriter, pandas as pd

workbook = xlsxwriter.Workbook('pandas_with_rich_strings.xlsx')

worksheet = workbook.add_worksheet()

# Set up some formats to use.

bold = workbook.add_format({'bold': True})

italic = workbook.add_format({'italic': True})

red = workbook.add_format({'color': 'red'})

df = pd.DataFrame({

'numCol': [1, 50, 327],

'plainText': ['plain', 'text', 'column'],

'richText': [

['This is ', bold, 'bold'],

['This is ', italic, 'italic'],

['This is ', red, 'red']

]

})

headRows = 1

for colNum in range(len(df.columns)):

xlColCont = df[df.columns[colNum]].tolist()

worksheet.write_string(0, colNum , str(df.columns[colNum]), bold)

for rowNum in range(len(xlColCont)):

if df.columns[colNum] == 'numCol':

worksheet.write_number(rowNum+headRows, colNum , xlColCont[rowNum])

elif df.columns[colNum] == 'richText':

worksheet.write_rich_string(rowNum+headRows, colNum , *xlColCont[rowNum])

else:

worksheet.write_string(rowNum+headRows, colNum , str(xlColCont[rowNum]))

workbook.close()

但是,如果不遍歷每一列并一次性將整個pandas數(shù)據(jù)框?qū)懭雃xcel文件,我該如何做同樣的事情呢?

和

包括

write_rich_string

格式化?

以下操作不起作用。

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

workbook = xlsxwriter.Workbook('pandas_with_rich_strings.xlsx')

worksheet = workbook.add_worksheet('pandas_df')

df.to_excel(writer,'pandas_df')

writer.save()

總結(jié)

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