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使用 Python 和 XLSXWriter 将格式应用于多个 Excel 工作表

[英]Applying formatting to multiple Excel sheets using Python and XLSXWriter

我有两个数据框如下:

import pandas as pd 
import numpy as np
from datetime import date

df = pd.DataFrame({'Data': [10, 22, 31, 43, 57, 99, 65, 74, 88],
                  'Data2':[10, 22, 31, 43, 57, 99, 65, 74, 88],
                  'Data3':[10, 22, 31, 43, 57, 99, 65, 74, 88]})

df2 = pd.DataFrame({'df2_Data': ['blue', 'yellow', 'purple', 'orange', 'green', 'brown', 'gray', 'white', 'red'],
                  'df2_Data2':['bike', 'car', 'bus', 'train', 'boat', 'truck', 'plane', 'scooter', 'skateboard'],
                  'df2_Data3':['chicken', 'cow', 'dog', 'crocodile', 'snake', 'pig', 'rat', 'mouse', 'monkey']})

我可以使用以下代码将具有所需格式的df导出为 Excel 中的单个工作表:

today = date.today()
d2 = today.strftime("%B %d, %Y")



writer = pd.ExcelWriter('ExcelExample{}.xlsx'.format(d2), engine='xlsxwriter')

df.to_excel(writer, sheet_name='Sheet1')
workbook  = writer.book
worksheet = writer.sheets['Sheet1']

header_format = workbook.add_format({
    'bold': True,
    'text_wrap': True,
    'valign': 'top',
    'fg_color': '#38C4F1',
    'font_color': 'FFFFFF',
    'border': 1})

for col_num, value in enumerate(df.columns.values):
    worksheet.write(0, col_num + 1, value, header_format)
    
writer.save()

给这个 output

在此处输入图像描述

或者,我可以使用以下代码将两个数据框导出为单独的工作表而不进行格式化:

writer = pd.ExcelWriter('ExcelExample{}.xlsx'.format(d2), engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')

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

如何手动或递归地将格式应用于所有工作表?

XlsxWriter 库中没有简单的方法可以做到这一点,自 2014 年以来这一直是一个问题。( https://github.com/jmcnamara/XlsxWriter/issues/111 )您可以使用 go 并使用工作表。 ) 方法(就像您已经做过的那样),或者与助手 function 一起工作。 我刚刚找到了这个库:

https://github.com/webermarcolivier/xlsxpandasformatter

xlsxpandasformatter 库为 XlsxWriter 和 pd.to_excel() 提供了几个帮助程序 function。
您可能会 go 并执行以下操作:

from xlsxpandasformatter import FormatedWorksheet
pd.formats.format.header_style = None

with pd.ExcelWriter("output_file.xlsx", engine="xlsxwriter", datetime_format="%B %d, %Y") as writer:
    workbook = writer.book

    header_format = workbook.add_format({
        'bold': True,
        'text_wrap': True,
        'text_v_align': 'top',
        'fg_color': '#38C4F1',
        'font_color': 'FFFFFF',
        'border': 1})
    
    all_df = [df1, df2]
    sheet_num = 1

    for df in all_df:
        sheetname = 'Sheet' + str(sheet_num)
        sheet_num += 1
        df.to_excel(writer, sheet_name = sheetname , index=False)

        worksheet = writer.sheets[sheetname]

        formattedWorksheet = FormatedWorksheet(worksheet, workbook, df)

        formattedWorksheet.format_header(headerFormat=header_format)
        formattedWorksheet.MoreMethodsThatYouCanApply()

        formattedWorksheet.apply_format_table()

此 [post][1] 中的以下代码允许我实现将格式应用于多个工作表的目标:

writer = pd.ExcelWriter('ExcelExample{}.xlsx'.format(d2), engine='xlsxwriter')
sheets_in_writer=['Sheet1','sheet2']

data_frame_for_writer=[df, df2]

for i,j in zip(data_frame_for_writer,sheets_in_writer):
    i.to_excel(writer,j,index=False)
    
#(max_row, max_col) = df.shape
#column_settings = [{'header': column} for column in df.columns]


### Assign WorkBook
workbook=writer.book
# Add a header format
header_format = workbook.add_format({'bold': True,'text_wrap': True,'size':10,
                                                      'valign': 'top','fg_color': '#c7e7ff','border': 1})


### Apply same format on each sheet being saved
for i,j in zip(data_frame_for_writer,sheets_in_writer):
    for col_num, value in enumerate(i.columns.values):
        writer.sheets[j].set_column(0, max_col - 1, 12)
#       writer.sheets[j].add_table(0, 0, max_row, max_col - 1, {'columns': column_settings,'autofilter': True})
        writer.sheets[j].write(0, col_num, value, header_format)
        writer.sheets[j].autofilter(0,0,0,i.shape[1]-1)
        writer.sheets[j].freeze_panes(1,0)
writer.save()


  [1]: https://stackoverflow.com/a/57350467/2781105

我使用以下 function 使用 Xlsxwriter 格式化 Excel 中的两个选项卡。 我有两个数据框,这完全符合我的预期。

def format_excel(writer):
""" Add Excel specific formatting to the workbooks for main report
"""
    workbook = writer.book
    worksheet = writer.sheets['Networks Selected']
    worksheet.set_zoom(120)
    worksheet.autofilter('$A$1:$G$1')
    worksheet2 = writer.sheets['No Primary Selected']
    worksheet2.set_zoom(120)
    worksheet2.autofilter('$A$1:$G$1')

    # Add some cell formats for columns with numbers
    format1 = workbook.add_format({'num_format': '00.00%'})
    format2 = workbook.add_format({'num_format': '0.00'})
    format3 = workbook.add_format({'num_format': 'mm/dd/yyyy'})

    # Set the column width and format. First Sheet
    worksheet.set_column('A:A', 15)
    worksheet.set_column('B:B', 25)
    worksheet.set_column('C:E', 30)
    worksheet.set_column('F:G', 15)
    worksheet.set_column('H:H', 15, format3)

    # Set the column width and format. Second Sheet
    worksheet2.set_column('A:A', 15)
    worksheet2.set_column('B:B', 25)
    worksheet2.set_column('C:G', 30)
    worksheet2.set_column('F:G', 15)
    worksheet2.set_column('H:H', 15, format3)

然后我像这样写了 output 并调用了 function:

writer = pd.ExcelWriter(f"Networks Selected List v2.xlsx", engine='xlsxwriter')
df_primary.to_excel(writer, sheet_name='Networks Selected', index = False)
df_no_primary.to_excel(writer, sheet_name='No Primary Selected', index = False)
format_excel(writer)
writer.save()

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