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Working with files

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Join Date: Oct 2009

Posts: 18

Reputation: pyprog is an unknown quantity at this point

Solved Threads: 0

pyprog

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Newbie Poster

Working with files

19 Days Ago

I have a file like this:
a,z,1
b,y
c,x,1
d,w,1
e,v
f,u
What I need to do is to create a dictionary that has the characters in the first column as keys and characters in the third column as values. The rest should be ignored, i.e. {a:1, c:1, d:1}. This is what I have so far:

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 Python Syntax (Toggle Plain Text) 
def create_dict(f):
    f = open("something.txt")
    d = {}
    for line in f:
        columns = line.split(",")
        letters = columns[0]
        numbers = columns[2]
def create_dict(f):
    f = open("something.txt")
    d = {}
    for line in f:
        columns = line.split(",")
        letters = columns[0]
        numbers = columns[2]

I am confused about next steps. Please, help.

Last edited by pyprog; 19 Days Ago at 2:28 am.

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Join Date: Nov 2009

Posts: 28

Reputation: ShadyTyrant is an unknown quantity at this point

Solved Threads: 5

ShadyTyrant ShadyTyrant is offline

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Light Poster

19 Days Ago

The only problem is the txt file must have 3 rows or the index becomes out of range.
Edit: You can use a Try Except block to only update the dict if there is a value in the 3ed row.

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 Python Syntax (Toggle Plain Text) 
def create_dict():
    f = open("something.txt")
    d = {}
    for line in f:
        try:
            columns = line.split(",")
            letters = columns[0]
            numbers = columns[2]
            data = {letters:numbers}
            d.update(data)
        except(IndexError):
            pass
 
        print d
 
create_dict()
def create_dict():
    f = open("something.txt")
    d = {}
    for line in f:
        try:
            columns = line.split(",")
            letters = columns[0]
            numbers = columns[2]
            data = {letters:numbers}
            d.update(data)
        except(IndexError):
            pass

        print d

create_dict()

Last edited by ShadyTyrant; 19 Days Ago at 3:04 am. Reason: May have found solution

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Join Date: Oct 2004

Posts: 3,983

Reputation: vegaseat is just really nice

Solved Threads: 926

vegaseat

Offline

DaniWeb's Hypocrite

19 Days Ago

I usually whip up a little test program. Here you use the length of your columns list to avoid problems ...

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 Python Syntax (Toggle Plain Text) 
# possible test data
data = """\
a,z,1
b,y
c,x,1
d,w,1
e,v
f,u"""
 
fname = "something.txt"
 
# write test data file ...
fout = open(fname, "w")
fout.write(data)
fout.close()
 
 
def create_dict(fname):
    fin = open(fname, "r")
    d = {}
    for line in fin:
        columns = line.split(",")
        if len(columns) > 2 :
            letter = columns[0]
            number = columns[2].rstrip()
            d[letter] = number
    return d
 
print( create_dict(fname) )  # {'a': '1', 'c': '1', 'd': '1'}
# possible test data
data = """\
a,z,1
b,y
c,x,1
d,w,1
e,v
f,u"""

fname = "something.txt"

# write test data file ...
fout = open(fname, "w")
fout.write(data)
fout.close()


def create_dict(fname):
    fin = open(fname, "r")
    d = {}
    for line in fin:
        columns = line.split(",")
        if len(columns) > 2 :
            letter = columns[0]
            number = columns[2].rstrip()
            d[letter] = number
    return d

print( create_dict(fname) )  # {'a': '1', 'c': '1', 'd': '1'}

May 'the Google' be with you!

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Join Date: Nov 2009

Posts: 79

Reputation: pythopian is an unknown quantity at this point

Solved Threads: 20

pythopian

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Junior Poster in Training

Don't get too noisy, try this much shorter hack...

17 Days Ago

Resort to regular expressions. Begin with:

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import re
s = file('something.txt', 'rt').read()
import re
s = file('something.txt', 'rt').read()

Then, if it's OK for the dictionary values to be strings, use:

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d = dict( re.findall(r'^(\S),\S,(\d)$', s, re.M) )
d = dict( re.findall(r'^(\S),\S,(\d)$', s, re.M) )

Otherwise use:

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d = dict( (key, int(val)) for (key, val) in re.findall(r'^(\S),\S,(\d)$', s, re.M) )
d = dict( (key, int(val)) for (key, val) in re.findall(r'^(\S),\S,(\d)$', s, re.M) )

In both cases, the key is

 Help with Code Tags 
 Python Syntax (Toggle Plain Text) 
re.findall(r'^(\S),\S,(\d)$', s, re.M)
re.findall(r'^(\S),\S,(\d)$', s, re.M)

It will extract only the lines that match the expected pattern (non-blank,non-blank,digit), and return a list of tuples containing the 1st and 3rd item. All that's left to do then is to convert these tuples into a dictionary of the desired format (string => string or string => int).

Depending on what your expected pattern is, you may substitute '\W' or '[A-Za-z]' for '\S'. Consult the re module docs for more information.

Last edited by pythopian; 17 Days Ago at 12:17 pm.