Django import export how to read import this file - django

Question

Here is a picture of the import file that is to be imported
I want to read the course column but when I exclude the group column, it shows all the columns are being skipped. How can I import this file?
This is the code currently:
class courseAttendanceResource(resources.ModelResource):
Student_ID = Field(attribute='Student_ID', column_name='Student ID')
Username = Field(attribute='Username', column_name='Username')
ID_number = Field(attribute='ID_number', column_name='ID number')
Institution = Field(attribute='Institution', column_name='Institution')
Department = Field(attribute='Department', column_name='Department')
Surname = Field(attribute='Surname', column_name='Surname')
First_name = Field(attribute='First_name', column_name='First name')
Groups = Field(attribute='Groups', column_name='Groups')
P = Field(attribute='P', column_name='P')
L = Field(attribute='L', column_name='L')
E = Field(attribute='E', column_name='E')
A = Field(attribute='A', column_name='A')
Taken_sessions = Field(attribute='Taken_sessions', column_name='Taken sessions')
Points = Field(attribute='Points', column_name='Points')
Percentage = Field(attribute='Percentage', column_name='Percentage')
def get_export_headers(self):
headers = super().get_export_headers()
for i, h in enumerate(headers):
if h == 'Student ID':
headers[i] = 'Student_ID'
if h == 'Username':
headers[i] = 'Username'
if h == 'ID number':
headers[i] = 'ID_number'
if h == 'Institution':
headers[i] = 'Institution'
if h == 'Department':
headers[i] = 'Department'
if h == 'Surname':
headers[i] = 'Surname'
if h == 'First name':
headers[i] = 'First_name'
if h == 'Groups':
headers[i] = 'Groups'
if h == 'P':
headers[i] = 'P'
if h == 'L':
headers[i] = 'L'
if h == 'E':
headers[i] = 'E'
if h == 'A':
headers[i] = 'A'
if h == 'Taken sessions':
headers[i] = 'Taken_sessions'
if h == 'Points':
headers[i] = 'Points'
if h == 'Percentage':
headers[i] = 'Percentage'
return headers
class Meta:
model = courseAttendance
with open('/tmp/rows.csv') as csvfile:
# skip the first 3 lines
[next(csvfile, None) for i in range(3)]
# now load the dataset
ds = tablib.Dataset()
ds.csv = csvfile.read()
print(ds)
dataset = ds
result = resource.import_data(dataset)
import_id_fields = ('Student_ID',)
exclude = ('Course', 'Group',)
fields = ('Student_ID', 'Username', 'ID_number', 'Institution', 'Department', 'Surname', 'First_name', 'Groups',
'P', 'L', 'E', 'A', 'Taken_sessions', 'Points', 'Percentage',)
#export_order = ('Student_ID', 'Username', 'ID_number', 'Institution', 'Department', 'Surname','First_name', 'Groups', 'P', 'L', 'E', 'A','Taken_sessions', 'Points', 'Percentage')
skip_unchanged = True
report_skipped = True
I need to read the course and exclude the group column. After that i want to read the rest of the columns. I applied your answer but it gives me an error at
result = resource.import_data(dataset)

Answer 1

Create a Dataset before you call import_data():
Given a csv file:
Course
Group
Student ID,Username
123,abc
import tablib
with open('/tmp/rows.csv') as csvfile:
# skip the first 3 lines
[next(csvfile, None) for i in range(3)]
# now load the dataset
ds = tablib.Dataset()
ds.csv = csvfile.read()
print(ds)
Produces:
Student ID|Username
----------|--------
123 |abc
Once you have loaded your dataset, you can call the import_data() method:
result = resource.import_data(dataset)