使用python保存.xlsx文件时保持相同的文件格式

Question

Im working on a project where I have to take excel file make changes to the data and save it

from pandas import ExcelWriter
import pandas as pd

dfs = pd.read_excel("infile.xlsx")

#manuplate data 

writer = ExcelWriter('outfile.xlsx')
dfs.to_excel(writer,'Sheet5')
writer.save()

The problem I have is the newly saved excel file does not have the same format(cell widht, bold borders) as the input file. What can I do to solve this issue?

Answer 1

You can't preserve the formatting because pandas throws away all that information upon import. You would need to specify the formatting options you want in the output with the ExcelWriter object. If you use the option engine='xlsxwriter' you can then use all the xlsxwriter formatting options before writing the final file. You can find more details in the XlsxWriter documentation.

Example:

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()