group by to create multiple files - pandas-groupby

Question

I have written a code using pandas groupby and its is working.
my question is how can I save each group in a excel sheet.
For example is you have group of fruits [ 'apple', 'grapes',.....'mango
']
I want to save apple in an excel and gapes in a different excel
import pandas as pd
df = pd.read_excel('C://Desktop/test/file.xlsx')
g = df.groupby('fruits')
for fruits, fruits_g in g:
print(fruits)
print(fruits_g)
Mango
name id purchase fruits
1 john 877 2 Mango
apple
name id purchase fruits
0 ram 654 5 apple
3 Sam 546 5 apple
BlueB
name id purchase fruits
7 david 767 9 black
grapes
name id purchase fruits
2 Dan 454 1 grapes
4 sys 890 7 grapes
mango
name id purchase fruits
5 baka 786 6 mango
strawB
name id purchase fruits
6 silver 887 9 straw
How Can i Create an excel for each group of fruit?

Answer 1

This can be accomplished using pandas.DataFrame.to_excel:
import pandas as pd
df = pd.DataFrame({
"Fruit": ["apple", "orange", "banana", "apple", "orange"],
"Name": ["John", "Sam", "David", "Rebeca", "Sydney"],
"ID": [877, 546, 767, 887, 890],
"Purchase": [1, 2, 5, 6, 4]
})
grouped = df.groupby("Fruit")
# run this to generate separate Excel files
for fruit, group in grouped:
group.to_excel(excel_writer=f"{fruit}.xlsx", sheet_name=fruit, index=False)
# run this to generate a single Excel file with separate sheets
with pd.ExcelWriter("fruits.xlsx") as writer:
for fruit, group in grouped:
group.to_excel(excel_writer=writer, sheet_name=fruit, index=False)