large csv to many xlsx containing multiple tabs

[thatIsTheCase]

import pandas as pd

df0 = pd.read_csv('test_sample.csv', usecols=
                    ('typeCategory','tran_id',
                    'issue_d','disbursement_d','fund_id','fund_nm', 'amount','grantee_legal_nm'))
df00 = pd.read_csv('test_sample.csv', usecols=
                    ('typeCategory','tran_id',
                    'issue_d','fund_id','fund_nm', 'amount'))

df1 = df0[df0['typeCategory'] == 'grant']
df2 = df00[df00['typeCategory'] == 'gift']


grantingFundID = list(df0['fund_id'].values)
#cell_format = workbook.add_format()

#df1.columns

image_file = open('logo1.png', 'rb')
image_data = io.BytesIO(image_file.read())

for fund_id in grantingFundID:
    df3= df1[df1['fund_id'] == fund_id]
    df4= df2[df2['fund_id'] == fund_id]

    writer =  pd.ExcelWriter(str(fund_id)+'.xlsx', engine='xlsxwriter')
    df3.to_excel(writer, 'grants',index=False)
    df4.to_excel(writer, 'gifts',index=False)

    workbook = writer.book
    worksheet = writer.sheets['grants']
    worksheet.set_margins(top=1.3)
    worksheet.set_header('&L&G', {
                                  'image_left': 'logo.png',
                                  'image_data_left': image_data
                                  })
    worksheet.set_column(0,30,20)
    worksheet = writer.sheets['gifts']
    workbook.close()

Here is updated code. I am now adding header to xlsx (logo1.png). I have not added the overview tab. Posting here to save someone else the time in the future.