Extract data from lines of a text file

Question

I need to extract data from lines of a text file. The data is name and scoring information formatted like this:

Shyvana - 12/4/5 - Loss - 2012-11-22
Fizz - 12/4/5 - Win - 2012-11-22
Miss Fortune - 12/4/3 - Win - 2012-11-22

This file is generated by another part of my little python program where I ask the user for the name, lookup the name they enter to ensure it's valid from a list of names, and then ask for kills, deaths, assists, and whether they won or lost. Then I ask for confirmation and write that data to the file on a new line, and append the date at the end like that. The code that prepares that data:

data = "%s - %s/%s/%s - %s - %s\n" % (
        champname, kills, deaths, assists, winloss, timestamp)

Basically I want to read that data back in another part of the program and display it to the user and do calculations with it like averages over time for a particular name.

I'm new to python and and I'm not very experienced with programming in general so most of the string splitting and formatting examples I find are just too cryptic for me to understand how to adapt to quite what I need here, could anyone help? I could format the written data differently so token finding would be simpler, but I want it to be simple directly in the file.

Solution 1

The following will read everything into a dictionary keyed by player name. The value associated with each player is itself a dictionary acting as a record with named fields associated with the items converted to a format suitable for further processing.

info = {}
with open('scoring_info.txt') as input_file:
    for line in input_file:
        player, stats, outcome, date = (
            item.strip() for item in line.split('-', 3))
        stats = dict(zip(('kills', 'deaths', 'assists'),
                          map(int, stats.split('/'))))
        date = tuple(map(int, date.split('-')))
        info[player] = dict(zip(('stats', 'outcome', 'date'),
                                (stats, outcome, date)))

print('info:')
for player, record in info.items():
    print('  player %r:' % player)
    for field, value in record.items():
        print('    %s: %s' % (field, value))

# sample usage
player = 'Fizz'
print('\n%s had %s kills in the game' % (player, info[player]['stats']['kills']))

Output:

info:
  player 'Shyvana':
    date: (2012, 11, 22)
    outcome: Loss
    stats: {'assists': 5, 'kills': 12, 'deaths': 4}
  player 'Miss Fortune':
    date: (2012, 11, 22)
    outcome: Win
    stats: {'assists': 3, 'kills': 12, 'deaths': 4}
  player 'Fizz':
    date: (2012, 11, 22)
    outcome: Win
    stats: {'assists': 5, 'kills': 12, 'deaths': 4}

Fizz had 12 kills in the game

Alternatively, rather than holding most of the data in dictionaries, which can make nested-field access a little awkward — info[player]['stats']['kills'] — you could instead use a little more advanced "generic" class to hold them, which will let you write info2[player].stats.kills instead.

To illustrate, here's almost the same thing using a class I've named Struct because it's somewhat like the C language's struct data type:

class Struct(object):
    """ Generic container object """
    def __init__(self, **kwds): # keyword args define attribute names and values
        self.__dict__.update(**kwds)

info2 = {}
with open('scoring_info.txt') as input_file:
    for line in input_file:
        player, stats, outcome, date = (
            item.strip() for item in line.split('-', 3))
        stats = dict(zip(('kills', 'deaths', 'assists'),
                          map(int, stats.split('/'))))
        victory = (outcome.lower() == 'win') # change to boolean T/F
        date = dict(zip(('year','month','day'), map(int, date.split('-'))))
        info2[player] = Struct(champ_name=player, stats=Struct(**stats),
                               victory=victory, date=Struct(**date))
print('info2:')
for rec in info2.values():
    print('  player %r:' % rec.champ_name)
    print('    stats: kills=%s, deaths=%s, assists=%s' % (
          rec.stats.kills, rec.stats.deaths, rec.stats.assists))
    print('    victorious: %s' % rec.victory)
    print('    date: %d-%02d-%02d' % (rec.date.year, rec.date.month, rec.date.day))

# sample usage
player = 'Fizz'
print('\n%s had %s kills in the game' % (player, info2[player].stats.kills))

Output:

info2:
  player 'Shyvana':
    stats: kills=12, deaths=4, assists=5
    victorious: False
    date: 2012-11-22
  player 'Miss Fortune':
    stats: kills=12, deaths=4, assists=3
    victorious: True
    date: 2012-11-22
  player 'Fizz':
    stats: kills=12, deaths=4, assists=5
    victorious: True
    date: 2012-11-22

Fizz had 12 kills in the game

Solution 2

There are two ways to read the data out from your textfile example.

First method

You can use python's csv module and specify that your delimiter is -.

See http://www.doughellmann.com/PyMOTW/csv/

Second method

Alternatively, if you don't want to use this csv module, you can simply use the split method after you have read each line in your file as a string.

f = open('myTextFile.txt', "r")
lines = f.readlines()

for line in lines:
    words = line.split("-")   # words is a list (of strings from a line), delimited by "-".

So in your example above, champname will actually be the first item in the words list, which is words[0].

Solution 3

You want to use split (' - ') to get the parts, then perhaps again to get the numbers:

for line in yourfile.readlines ():
    data = line.split (' - ')
    nums = [int (x) for x in data[1].split ('/')]

Should get you all the stuff you need in data[] and nums[]. Alternatively, you can use the re module and write a regular expression for it. This doesn't seem complex enough for that, though.

Solution 4

# Iterates over the lines in the file.
for line in open('data_file.txt'):
    # Splits the line in four elements separated by dashes. Each element is then
    # unpacked to the correct variable name.
    champname, score, winloss, timestamp = line.split(' - ')

    # Since 'score' holds the string with the three values joined,
    # we need to split them again, this time using a slash as separator.
    # This results in a list of strings, so we apply the 'int' function
    # to each of them to convert to integer. This list of integers is
    # then unpacked into the kills, deaths and assists variables
    kills, deaths, assists = map(int, score.split('/'))

    # Now you are you free to use the variables read to whatever you want. Since
    # kills, deaths and assists are integers, you can sum, multiply and add
    # them easily.

Solution 5

First, you break the line into data fragments

>>> name, score, result, date = "Fizz - 12/4/5 - Win - 2012-11-22".split(' - ')
>>> name
'Fizz'
>>> score
'12/4/5'
>>> result
'Win'
>>> date
'2012-11-22'

Second, parse your score

>>> k,d,a = map(int, score.split('/'))
>>> k,d,a
(12, 4, 5)

And finally, convert the date string into date object

>>> from datetime import datetime    
>>> datetime.strptime(date, '%Y-%M-%d').date()
datetime.date(2012, 1, 22)

Now you have all your parts parsed and normalized to data types.

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