Esempio n. 1
0
    for line in fileContents:
        line = string.strip(line)
        brokenline = line.split()
        if len(brokenline) == 0:
            continue
        first = brokenline[0]
        if datamunger.isNumber(first):
            brokenline = datamunger.cleanData(extractFields(brokenline), '*')
            newContents.append(brokenline)
    return newContents

# check if the file exists
filename = "weather.dat"
if not os.path.exists(filename):
    exit()

# load the file here
with open(filename) as f:
    # read the file contents
    contents = f.readlines()

    # weed out the unneeded data
    contents = removeUnwantedData(contents)

    # write algo to determine the smallest temperature spread
    mapOfTemps = datamunger.computeDifference(contents)

    # display to the user which day has the smallest temperature spread
    print """June %d, 2002 has the smallest temperature range recorded.
Computed temperature range: %d """ % datamunger.getLeastEntry(mapOfTemps)
Esempio n. 2
0
            continue
        first = brokenline[0]
        first = string.rstrip(first, '.')
        if datamunger.isNumber(first):
            brokenline = datamunger.cleanData(extractFields(brokenline))
            newContents.append(brokenline)
    return newContents

# check if the file exists
filename = "football.dat"
if not os.path.exists(filename):
    exit()

# load the file here
with open(filename) as f:
    # read the file contents
    contents = f.readlines()

    # weed out the unneeded data
    contents = removeUnwantedData(contents)

    # write algo to determine the smallest temperature spread
    mapOfLeagues = datamunger.computeDifference(contents)

    # display to the user which day has the smallest temperature spread
    print """Team %s has the least goal difference of: %d """ % datamunger.getLeastEntry(mapOfLeagues)