Page 211 -

custom data objects

Code Magnets

Let’s look at the code to implement the strategy outlined at the bottom of the previous page. For
now, let’s concentrate on Sarah’s data. Rearrange the code magnets at the bottom of this page to
implement the list processing required to extract and process Sarah’s three fastest times from Coach
Kelly’s raw data.
Hint: the pop() method removes and returns a data item from the specified list location.

def sanitize(time_string):
The “sanitize()” function is as
if '-' in time_string:
it was in Chapter 5.
splitter = '-'
elif ':' in time_string:
splitter = ':'
else:
return(time_string)
(mins, secs) = time_string.split(splitter)
return(mins + '.' + secs)
The “get_coach_data()” function is
def get_coach_data(filename): also from the last chapter.
try:
with open(filename) as f:
data = f.readline()
return(data.strip().split(','))
except IOError as ioerr:
print('File error: ' + str(ioerr))
return(None)
Rearrange the
magnets here.

(sarah_name, sarah_dob)
sarah "'s fastest times are: " + =
print(sarah_name +
get_coach_data('sarah2.txt') =
sarah.pop(0), sarah.pop(0)
str(sorted(set([sanitize(t) for t in sarah]))[0:3]))
you are here 4 175