如何使用read_excel和to_excel格式化Excel单元格？

Question

I currently have an excel file named 'excel example.xlsx'. I have 2 sheets in this file.

The first sheet is titled 'Home' and the second sheet is titled 'Sheet2'.

Sheet 1: The first sheet, 'Home', has the sentence 'This is a test' in the first row starting in cell A1 and ending in column D1.

Here is an example of the Home sheet:

Cell: A1 "This" Cell: B1 "is" Cell: C1 "a" Cell: D1 "test"

Sheet 2:

In the second sheet, 'Sheet2', I would like the following data printed:

Cell: A1 "col1" Cell: B1 "col2" Cell: A2 "21" Cell: B1 "23" Cell: A3 "22" Cell: B3 "24"

Here is my code so far:

import pandas as pd
from pandas import read_excel

my_sheet_name = 'Home' 
df1 = read_excel('excel example.xlsx', sheet_name = 'Home')    


x = {'col1': [21, 22], 'col2': [23, 24]}
df2 = pd.DataFrame(data=x)


writer = pd.ExcelWriter('excel example.xlsx')
df1.to_excel(writer, 'Home')
df2.to_excel(writer, 'Sheet2')
writer.save()

This code works fine but there are some format issues.

Issue 1:

The 'Home' sheet printed the sentence 'This is a test' starting in cell B1, not A1 like I wanted. Cell A1 is blank.

Issue 2:

The sentence 'This is a test' has borders. I would like the borders removed if possible.

Issue 3:

The sentence 'This is a test' has been bolded. I would like the bold format removed if possible.

I am new to coding and will appreciate any help I can get. Thanks!

Answer 1

From the documentation I modified the arguments passed in to_excel to include index=False to resolve Issue 1 that you had because pandas uses the first column for an index and interprets the first row of the Excel file as a header (hence the bolding & borders when re-written to an Excel file). To resolve issue 2 & 3 I read the first sheet with header=None addition so that the column headers would not be bolded and re-did the data loaded into df2 so as not to have headers as well

The final code that worked for me was:

import pandas as pd
from pandas import read_excel

my_sheet_name = 'Home' 
df1 = read_excel('excel example.xlsx', sheet_name = 'Home', header=None)    


x = {'0': ['col1', 21, 22], '1': ['col2', 23, 24]}
df2 = pd.DataFrame(data=x)


writer = pd.ExcelWriter('excel example.xlsx')
df1.to_excel(writer, 'Home', index=False)
df2.to_excel(writer, 'Sheet2', index=False)
writer.save()