I have some complicated formating saved in a template file into which I need to save data from a pandas dataframe. Problem is when I use pd.to_excel to save to this workshee
openpyxl 2.4 comes with a utility for converting Pandas Dataframes into something that openpyxl can work with directly. Code would look a bit like this:
from openpyxl.utils.dataframe import dataframe_to_rows
rows = dataframe_to_rows(df)
for r_idx, row in enumerate(rows, 1):
for c_idx, value in enumerate(row, 1):
ws.cell(row=r_idx, column=c_idx, value=value)
You can adjust the start of the enumeration to place the cells where you need them.
See openpyxl documentation for more information.
Here is the solution for you using clipboard:
import openpyxl
import pandas as pd
import clipboard as clp
#Copy dataframe to clipboard
df.to_clipboard()
#paste the clipboard to a valirable
cells = clp.paste()
#split text in varialble as rows and columns
cells = [x.split() for x in cells.split('\n')]
#Open the work book
wb= openpyxl.load_workbook('H:/template.xlsx')
#Get the Sheet
sheet = wb.get_sheet_by_name('spam')
sheet.title = 'df data'
#Paste clipboard values to the sheet
for i, r in zip(range(1,len(cells)), cells):
for j, c in zip(range(1,len(r)), r):
sheet.cell(row = i, column = j).value = c
#Save the workbook
wb.save('H:/df_out.xlsx')