如何使Python脚本写入现有工作表

Question

I am writing a Python script and stuck on one of the early steps. I am opening an existing sheet and want to add two columns so I have used this:

#import the writer
import xlwt
#import the reader
import xlrd
#open the sussex results spreadsheet
book = xlrd.open_workbook('sussex.xlsx')
#open the first sheet
first_sheet = book.sheet_by_index(0)
#print the values in the second column of the first sheet
print first_sheet.col_values(1)
#in cell 0,0 (first cell of the first row) write "NIF"
sheet1.write(0, 6, "NIF")
#in cell 0,0 (first cell of the first row) write "Points scored"
sheet1.write(0, 6, "Points scored")

On line 12 I get an error:

name 'sheet1' is not defined

How do I define sheet 1 within the sheet that I have already opened?

Answer 1

I guess you need to have something like sheet1 = book.sheet_by_index(0) ; because now sheet1 is not defined. Also, document is opened using xlrd which is reader, and you need to write there values - so document should be opened also using xlwt .

Answer 2

sheet1 is never declared. Try changing it to

#import the writer
import xlwt
#import the reader
import xlrd
#open the sussex results spreadsheet
book = xlrd.open_workbook('sussex.xlsx')
#open the first sheet
first_sheet = book.sheet_by_index(0)
#print the values in the second column of the first sheet
print first_sheet.col_values(1)
#in cell 0,0 (first cell of the first row) write "NIF"
first_sheet.write(0, 6, "NIF")
#in cell 0,0 (first cell of the first row) write "Points scored"
first_sheet.write(0, 6, "Points scored")

edit: You could also use Pandas to read and write to Excel:

import pandas as pd
import numpy as np
#open the sussex results spreadsheet, first sheet is used automatically
df = pd.read_excel('sussex.xlsx')

#print the values in the second column of the first sheet
print(df.iloc[:,1])

#Create column 'NIF'
df['NIF'] = np.nan #I don't know what you want to do with this column, so I filled it with NaN's
#in cell 0,7 (first cell of the first row) write "Points scored"
df['Points scored'] = np.nan #I don't know what you want to do with this column, so I filled it with NaN's
<.... Do whatever calculations you want with NIF and Points scored ...> 
# Write output
df.to_excel('sussex.xlsx')