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readrides.py
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# readrides.py
import csv
def read_rides_as_tuples(filename):
'''
Read the bus ride data as a list of tuples
'''
records = []
with open(filename) as f:
rows = csv.reader(f)
headings = next(rows) # Skip headers
for row in rows:
route = row[0]
date = row[1]
daytype = row[2]
rides = int(row[3])
record = (route, date, daytype, rides)
records.append(record)
return records
def read_rides_as_dicts(filename):
'''
Read the bus ride data as a list of dicts
'''
records = []
with open(filename) as f:
rows = csv.reader(f)
headings = next(rows) # Skip headers
for row in rows:
route = row[0]
date = row[1]
daytype = row[2]
rides = int(row[3])
record = {
'route': route,
'date': date,
'daytype': daytype,
'rides' : rides
}
records.append(record)
return records
class Row:
# Uncomment to see effect of slots
# __slots__ = ('route', 'date', 'daytype', 'rides')
def __init__(self, route, date, daytype, rides):
self.route = route
self.date = date
self.daytype = daytype
self.rides = rides
# Uncomment to use a namedtuple instead
#from collections import namedtuple
#Row = namedtuple('Row',('route','date','daytype','rides'))
def read_rides_as_instances(filename):
'''
Read the bus ride data as a list of instances
'''
records = []
with open(filename) as f:
rows = csv.reader(f)
headings = next(rows) # Skip headers
for row in rows:
route = row[0]
date = row[1]
daytype = row[2]
rides = int(row[3])
record = Row(route, date, daytype, rides)
records.append(record)
return records
if __name__ == '__main__':
import tracemalloc
tracemalloc.start()
read_rides = read_rides_as_tuples # Change to as_dicts, as_instances, etc.
rides = read_rides("../../Data/ctabus.csv")
print('Memory Use: Current %d, Peak %d' % tracemalloc.get_traced_memory())