import csv


def setup_demand(csv_location):
    """Return a list of CSV values containing hour & temperature data. The index
of the list represents the hour of the day, and the value at that index represents
the demand (in L/h) at that hour.
"""
    with open(csv_location) as csvfile:
        reader = csv.DictReader(csvfile)
        rows = [float(row['Litres/Hour']) for row in reader]
    return rows