Python How to use ExcelWriter to write into an exi

2019-01-15 16:11发布

问题:

I am trying to use ExcelWriter to write/add some information into a workbook that contains multiple sheets. First time when I use the function, I am creating the workbook with some data. In the second call, I would like to add some information into the workbook in different locations into all sheets.

def Out_Excel(file_name,C,col): 
    writer = pd.ExcelWriter(file_name,engine='xlsxwriter')
    for tab in tabs:    # tabs here is provided from a different function that I did not write here to keep it simple and clean
        df = DataFrame(C)    # the data is different for different sheets but I keep it simple in this case
        df.to_excel(writer,sheet_name = tab, startcol = 0 + col, startrow = 0)
    writer.save()

In the main code I call this function twice with different col to print out my data in different locations.

Out_Excel('test.xlsx',C,0)
Out_Excel('test.xlsx',D,10)

But the problem is that doing so the output is just the second call of the function as if the function overwrites the entire workbook. I guess I need to load the workbook that already exists in this case? Any help?

回答1:

Use load_book from openpyxl - see xlsxwriter and openpyxl docs:

import pandas as pd
from openpyxl import load_workbook

book = load_workbook('test.xlsx')
writer = pd.ExcelWriter('test.xlsx') 
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

df.to_excel(writer, sheet_name='tab_name', other_params)

writer.save()


回答2:

You could also try using the following method to create your Excel spreadsheet:

import pandas as pd

def generate_excel(csv_file, excel_loc, sheet_):
    writer = pd.ExcelWriter(excel_loc)
    data = pd.read_csv(csv_file, header=0, index_col=False)
    data.to_excel(writer, sheet_name=sheet_, index=False)
    writer.save()
    return(writer.close())

Give this a try and let me know what you think.