I have the following piece of code:
my_list = ["US", "IT", "ES", "NL"]
for i in my_list:
A = sum_products_by_country(world_level,i)
df = pd.DataFrame({'value':A})
Descending = df.sort_values( by='value', ascending = 0 )
Top_5 = Descending[0:5]
print(Top_5)
The "sum_products_by_country" is a created function which takes as arguments a data frame ( in my case is named "world_level") and a country name and returns the sum by product for this country. Using this loop I find the top5 products and the sums for each country of my_list. Here is the output of this loop:
US value
Product
B 1492
H 455
BB 351
C 119
F 117
IT value
Product
P 346
U 331
A 379
Q 190
D 1389
ES value
Product
P 3046
U3 331
A 379
Q 1390
DD 10389
NL value
Product
P 3465
U 3313
AA 379
2Q 190
D 189
I want to write this output in a excel sheet using :
writer = pd.ExcelWriter('top products.xlsx', engine='xlsxwriter')
Top_5.to_excel(writer, sheet_name='Sheet1')
writer.save()
Could you tell me where should I put the code above in order to get the required excel document? Is there also a way to get the column names(country,product,value) only once on the top in my excel document and not for each country separately? So I want something like this:
Country Product value
US
B 1492
H 455
BB 351
C 119
F 117
IT
P 346
U 331
A 379
Q 190
D 1389
ES
P 3046
U3 331
A 379
Q 1390
DD 10389
NL
P 3465
U 3313
AA 379
2Q 190
D 189
Thank you
This script should help you:
#Create workbook object
wb = openpyxl.Workbook()
sheet = wb.get_active_sheet()
sheet.title='Products by country'
#Generate data
#Add titles in the first row of each column
sheet.cell(row=1, column=1).value='country'
sheet.cell(row=1, column=2).value='product'
sheet.cell(row=1, column=3).value='value'
#Loop to set the value of each cell
for i in range(0, len(Country)):
sheet.cell(row=i+2, column=1).value=Country[i]#with country being your array full of country names. If you have 5 values for one country I would advise just having the country name in there five times.
sheet.cell(row=i+2, column=2).value=Product[i]#array with products
sheet.cell(row=i+2, column=3).value=Values[i]#array with values
#Finally, save the file and give it a name
wb.save('NameFile.xlsx')
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