将 pandas df 写入 Excel 并保存到副本中

Question

我有一个 pandas 数据框，我想打开一个现有的包含公式的 Excel 工作簿，将数据框复制到一组特定的列中（比如说从 A 列到 H 列）并将其另存为具有不同名称的新文件.

我们的想法是更新现有模板，用指定列集中的数据框填充它，然后以不同的名称保存 Excel 文件的副本。

有什么想法吗？

我拥有的是：

  import pandas
  from openpyxl import load_workbook

 book = load_workbook('Template.xlsx')
 writer = pandas.ExcelWriter('Template.xlsx', engine='openpyxl') 
 writer.book = book
 writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

 df.to_excel(writer)

 writer.save()

Answer 1

假设您很乐意复制到 A 列，下面应该可以工作。我看不到从不同列开始写入工作表的方法（不覆盖任何内容）。

以下内容包含@MaxU 的建议，即在写入之前复制模板表（我自己的模板工作簿上的几个小时工作刚刚丢失到 pd.to_excel）

import pandas as pd
from openpyxl.utils.dataframe import dataframe_to_rows
from shutil import copyfile

template_file = 'Template.xlsx' # Has a header in row 1 already
output_file = 'Result.xlsx' # What we are saving the template as

# Copy Template.xlsx as Result.xlsx
copyfile(template_file, output_file)

# Read in the data to be pasted into the termplate
df = pd.read_csv('my_data.csv') 

# Load the workbook and access the sheet we'll paste into
wb = load_workbook(output_file)
ws = wb.get_sheet_by_name('Existing Result Sheet') 

# Selecting a cell in the header row before writing makes append()
#  start writing to the following line i.e. row 2
ws['A1']
# Write each row of the DataFrame
# In this case, I don't want to write the index (useless) or the header (already in the template)
for r in dataframe_to_rows(df, index=False, header=False):
    ws.append(r)

wb.save(output_file)

Answer 2

试试这个：

df.to_excel(writer, startrow=10, startcol=1, index=False, engine='openpyxl')

注意startrow和startcol参数