将值写入python中 pandas 表中的特定单元格 [英] Write values to a particular cell in a sheet in pandas in python
问题描述
我有一个Excel工作表,该工作表在某些单元格中已经有一些值.
I have an excel sheet, which already has some values in some cells.
例如:-
A B C D
1 val1 val2 val3
2 valx valy
我希望熊猫在不触摸其他任何单元格,纸张等的情况下写特定的单元格
这是我尝试过的代码.
import pandas as pd
from openpyxl import load_workbook
df2 = pd.DataFrame({'Data': [13, 24, 35, 46]})
book = load_workbook('b.xlsx')
writer = pd.ExcelWriter('b.xlsx', engine='openpyxl')
df2.to_excel(writer, "Sheet1", startcol=7,startrow=6)
writer.save()
但是此代码删除了较旧的单元格值.
However this code deletes the older cell values.
I have reffered to :- How to write to an existing excel file without overwriting data (using pandas)? but this solution does not work.
推荐答案
我无法使用熊猫来完成我在问题中提出的要求,但是可以使用Openpyxl
解决它.
I was not able to do what was asked by me in the question by using pandas, but was able to solve it by using Openpyxl
.
我将写一些代码片段,以帮助实现所要求的内容.
I will write few code snippets which would help in achieving what was asked.
import openpyxl
srcfile = openpyxl.load_workbook('docname.xlsx',read_only=False, keep_vba= True)#to open the excel sheet and if it has macros
sheetname = srcfile.get_sheet_by_name('sheetname')#get sheetname from the file
sheetname['B2']= str('write something') #write something in B2 cell of the supplied sheet
sheetname.cell(row=1,column=1).value = "something" #write to row 1,col 1 explicitly, this type of writing is useful to write something in loops
srcfile.save('newfile.xlsm')#save it as a new file, the original file is untouched and here I am saving it as xlsm(m here denotes macros).
因此,Openpyxl可以在不触及其他工作表,单元格等的情况下写入一个网状单元格. 基本上,它会尊重原始文件的属性写入新文件
So Openpyxl writes to a purticular cell, without touching the other sheets,cells etc. It basically writes to a new file respecting the properties of the original file
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