Use a CSV to create a SQL table

Question

I have a csv file with the following format:

+--------------+--------+--------+--------+
| Description  | brand1 | brand2 | brand3 |
+--------------+--------+--------+--------+
| afkjdjfkafj  |      1 |      0 |      0 |
| fhajdfhjafh  |      1 |      0 |      0 |
| afdkjfkajljf |      0 |      1 |      0 |
+--------------+--------+--------+--------+

I want to write a python script that reads the csv and create a table in sql. I want the table to have the description and the derived brand. If there is a one in the brand name column of the csv then the description is associated with that brand. I want to then create a sql table with the description and the associated brand name.

The table will be :

+-------------+---------------+
| Description | derived brand |
+-------------+---------------+
| afkjdjfkafj | brand 1       |
+-------------+---------------+

So far I have written the code for reading the csv and made the descriptions a list.

df = pd.read_csv(SOURCE_FILE, delimiter=",")
descriptions = df['descriptions'].tolist()

Please provide some guidance on how to read the file and achieve this because I am so lost. Thanks!

Answer 1

I just answered a similar question on dba.stackexchange.com , but here's the basics

Create your table...

create table myStagingTable (Description varchar(64), Brand1 bit, Brand2 bit, Brand3 bit)

Then, bulk insert into it but ignore the first row, if your first row has column headers.

bulk insert myStagingTable
   from 'C:\somefile.csv',
   with( firstrow = 2,
         fieldterminator = ',',
         rowterminator = '\n')

Now your data will be in a table just like it is in your excel file.To insert it into your final table, you can use IIF and COALESCE

insert into finalTable
select distinct
    [Description]
    ,DerivedBrand = coalesce(iif(Brand1 = 1,'Brand1',null),iif(Brand2 = 1,'Brand2',null),iif(Brand3 = 1,'Brand3',null))
from myStagingTable

See a DEMO HERE