您无法保留格式,因为 pandas 在导入时会丢弃所有这些信息。您需要使用 ExcelWriter 对象在输出中指定所需的格式选项。如果您使用选项engine='xlsxwriter',则可以在写入最终文件之前使用所有 xlsxwriter 格式化选项。您可以在XlsxWriter documentation.中找到更多详细信息
例子:
import pandas as pd
# This removes the default header style so we can override it later
import pandas.io.formats.excel
pandas.io.formats.excel.header_style = None
# Create a Pandas dataframe from some data.
df = pd.DataFrame({'Data1': [10, 20, 30, 20, 15, 30, 45],
'Data2': [90, 80, 30, 15, 88, 34, 41]})
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_conditional.xlsx', engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1')
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Create Format objects to apply to sheet
# https://xlsxwriter.readthedocs.io/format.html#format-methods-and-format-properties
red_bold = workbook.add_format({'bold': True, 'font_color': 'red'})
border = workbook.add_format({'border':5, 'border_color':'blue'})
#Apply formatting to sheet
worksheet.set_column('C:C', None, red_bold)
worksheet.set_column('A1:A8', None, border)
# Apply a conditional format to a cell range.
worksheet.conditional_format('B2:B8', {'type': '3_color_scale'})
# Close the Pandas Excel writer and output the Excel file.
writer.save()