I have a dataframe in which some columns are empty. I have a criteria in the if statement in which if some of the columns in each row are empty the whole row goes to the rejected datasheet starting from row 3 in the excel sheet. Otehrwise, it will be a row in the accepted datasheet starting from row 3 in the excel sheet as well. An extra thing would be to add borders to each printed row in each excel worksheet
Currently the whole dataframe is printed in each excel worksheet.
df = df[['Lastname', 'Firstname','Company','Title','Willing_to_share','Willing_to_introduce','work_phones','Work_email','Work_Street','Work_City','Work_State','Work_Zip','Personal_Street','Personal_City','Personal_State','Personal_Zip','mobile_phones','Personal_email','Note','Note_Category']]
##print(df)
## Lastname Firstname Company Title Willing_to_share \
0 Doe Jane
1 Malcoun Joe 8/28/2019 14:29
2 Ramirez Morgan
3 Burki Roman
4 None Jordan
5 None
6 Zachuani Reemo
7 Suarez Geraldo
Willing_to_introduce work_phones Work_email \
0 5678743546 j@greenbriar.com
1 None ceo@nutshell.com
2 3338765438 mramirez@nerdy.com
3 5468756098 burki@bvb.com
4 None jordanw45490@gmail.com
5 None ronny
6 None
7 None
Work_Street Work_City Work_State Work_Zip Personal_Street \
0 54 George street Ridge Springs VA 25678
1 212 South Fifth Ave Ann Arbor MI 48103
2 567 one st Birmingham AL 45678
3 546 fourteen street Nw Dallas TX 54678
4
5
6
7 456 yellow street
Personal_City Personal_State Personal_Zip mobile_phones Personal_email Note \
0 3245687907
1 None
2 6780431874
3 0983457690
4 None
5 None
6 None
7 None
Note_Category
0
1
2
3
4
5
6
7
columns=df.columns
for column, row in df.iterrows():
if (column[0] != '' and column[1] != '') and ((column[2] != ''
and column[3] != '') or (column[2] == '') and (column[6] != '')
or (column[16] != '') and (column[12] != '' and column[13] != '' and column[14] != '' and column[15] != '') or (column[8] != '' and column[9] != '' and column[10] != '' and column[11] != ''
and (column[7] != '' or column[17] != ''))):
wb = Workbook()
ws = wb.active
wb2 = Workbook()
ws2 = wb2.active
for r in dataframe_to_rows(df, index=False, header=False):
ws.append(r)
ws2.append(r)
wb.save("Accepted Contacts.xlsx")
wb2.save("Rejected Contacts.xlsx")
else:
wb = Workbook()
ws = wb.active
wb2 = Workbook()
ws2 = wb2.active
for r in dataframe_to_rows(df, index=False, header=False):
ws.append(r)
ws2.append(r)
wb.save("Rejected Contacts.xlsx")
wb2.save("Accepted Contacts.xlsx")
In the image it is how the accepted contacts worksheet looks like right now with the data
