What's the most idiomatic way to write a class definition? There's no way that my code below is the best way to do this.
class Course:
crn = course = title = tipe = cr_hours = seats = instructor = days = begin = end = location = exam = ""
def __init__(self, pyQueryRow):
self.crn = Course.get_column(pyQueryRow, 0)
self.course = Course.get_column(pyQueryRow, 1)
self.title = Course.get_column(pyQueryRow, 2)
self.tipe = Course.get_column(pyQueryRow, 3)
self.cr_hours = Course.get_column(pyQueryRow, 4)
self.seats = Course.get_column(pyQueryRow, 5)
self.instructor = Course.get_column(pyQueryRow, 6)
self.days = Course.get_column(pyQueryRow, 7)
self.begin = Course.get_column(pyQueryRow, 8)
self.end = Course.get_column(pyQueryRow, 9)
self.location = Course.get_column(pyQueryRow, 10)
self.exam = Course.get_column(pyQueryRow, 11)
def get_column(row, index):
return row.find('td').eq(index).text()
[First of all python is an awesome language. This is my first project using python and I've made a ridiculous amount of progress already.]
def__init__(self, pyQueryRow):
for i,attr in enumerate("crn course title tipe cr_hours seats instructor"
" days begin end location exam".split()):
setattr(self, attr, self.get_column(pyQueryRow, i))
This way avoids multiple calls to self.get_column
def__init__(self, pyQueryRow):
attrs = ("crn course title tipe cr_hours seats instructor"
" days begin end location exam".split())
values = [td.text for td in pyQueryRow.find('td')]
for attr, value in zip(attrs, values):
setattr(self, attr, value)
Personally, I'd use a dictionary to map the property to column numbers:
class Course:
crn = course = title = tipe = cr_hours = seats = instructor = days = begin = end = location = exam = ""
def __init__(self, pyQueryRow):
course_row_mapping = {
'crn' : 0,
'course' : 1,
'title' : 2,
'tipe' : 3, # You probably mean "type"?
'cr_hours' : 4,
'seats' : 5,
'instructor' : 6,
'days' : 7,
'begin' : 8,
'end' : 9,
'location' : 10,
'exam' : 11,
}
for name, col in course_row_mapping.iteritems():
setattr(self, name, Course.get_column(pyQueryRow, col))
def get_column(row, index):
return row.find('td').eq(index).text()
I'm not sure that there is a "better" way. What you have is certainly quite readable. If you wanted to avoid duplicating the Course.get_column
code you could define a lambda for that, as in Matthew Flaschen's answer, eg.
class Course:
def __init__(self, pyQueryRow):
get_column = lambda index: pyQueryRow.find('td').eq(index).text()
self.crn = get_column(0)
self.course = get_column(1)
self.title = get_column(2)
self.tipe = get_column(3)
self.cr_hours = get_column(4)
self.seats = get_column(5)
self.instructor = get_column(6)
self.days = get_column(7)
self.begin = get_column(8)
self.end = get_column(9)
self.location = get_column(10)
self.exam = get_column(11)
Note that you don't need the line that initialises all the fields to "" beforehand - just setting them in __init__
is fine. Edit: in fact, as Matthew says, that sets class fields, not instance fields - I totally missed that.
EDIT: Actually, the best might be:
self.crn, self.course, self.title, self.tipe, self.cr_hours, self.seats,\
self.instructor, self.days, self.begin, self.end, self.location, self.exam = \
[pq(td).text() for td in pyQueryRow.find('td')]
That assumes you've imported PyQuery as pq. This avoids ever using indices at all.
self.crn, self.course, self.title, self.tipe, self.cr_hours, self.seats,\
self.instructor, self.days, self.begin, self.end, self.location, self.exam = \
map(lambda index: get_column(pyQueryRow, index), xrange(0, 12))
or if you want a list comprehension:
self.crn, self.course, self.title, self.tipe, self.cr_hours, self.seats,\
self.instructor, self.days, self.begin, self.end, self.location, self.exam = \
[get_column(pyQueryRow, index) for index in xrange(0, 12)]
I don't know if these are the most idiomatic, but there's definitely less boilerplate.
Also, remove the crn = course =
. You're assigning to the class, not the instance.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With