我有一个pandas数据框,我想打开一个包含公式的现有excel工作簿,将数据框复制到一组特定的列中(比如从A列到H列)并将其保存为具有不同名称的新文件
我们的想法是更新现有模板,使用指定的一组列中的数据框填充它,然后使用其他名称保存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()
答案 0 :(得分:1)
以下内容应该有效,假设您很乐意复制到A栏中。我没有看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建议在写入模板之前复制模板表(在我自己的模板工作簿中丢失了几个小时的工作到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)
答案 1 :(得分:0)
试试这个:
df.to_excel(writer, startrow=10, startcol=1, index=False, engine='openpyxl')
注意startrow
和startcol
参数