Is there a way to export multiple pandas Dataframes in different sheet names using "to_csv" [duplicate] - python-3.x

Question

I need to Export or save pandas Multiple Dataframe in an excel in different tabs?
Let's suppose my df's is:
df1:
Id Name Rank
1 Scott 4
2 Jennie 8
3 Murphy 1
df2:
Id Name Rank
1 John 14
2 Brown 18
3 Claire 11
df3:
Id Name Rank
1 Shenzen 84
2 Dass 58
3 Ghouse 31
df4:
Id Name Rank
1 Zen 104
2 Ben 458
3 Susuie 198
These are my four Dataframes and I need to Export as an Excel with 4 tabs i.e, df1,df2,df3,df4.

Answer 1

A simple method would be to hold your items in a collection and use the pd.ExcelWriter Class
Lets use a dictionary.
#1 Create a dictionary with your tab name and dataframe.
dfs = {'df1' : df1, 'df2' : df2...}
#2 create an excel writer object.
writer = pd.ExcelWriter('excel_file_name.xlsx')
#3 Loop over your dictionary write and save your excel file.
for name,dataframe in dfs.items():
dataframe.to_excel(writer,name,index=False)
writer.save()
adding a path.
from pathlib import Path
trg_path = Path('your_target_path')
writer = pd.ExcelWriter(trg_path.joinpath('excel_file.xlsx'))

Answer 2

Using xlsxwriter, you could do something like the following:
import xlsxwriter
import pandas as pd
### Create df's here ###
writer = pd.ExcelWriter('C:/yourFilePath/example.xslx', engine='xlsxwriter')
workbook = writer.book
### First df tab
worksheet1 = workbook.add_worksheet({}.format('df1') # The value in the parentheses is the tab name, so you can make that dynamic or hard code it
row = 0
col = 0
for Name, Rank in (df1):
worksheet.write(row, col, Name)
worksheet.write(row, col + 1, Rank)
row += 1
### Second df tab
worksheet2 = workbook.add_worksheet({}.format('df2')
row = 0
col = 0
for Name, Rank in (df2):
worksheet.write(row, col, Name)
worksheet.write(row, col + 1, Rank)
row += 1
### as so on for as many tabs as you want to create
workbook.close()
xlsxwriter allows you to do a lot of formatting as well. If you want to do that check out the docs