[Tutor] How to create dictionaries loadable with import

[Treder, Robert]

Hi Python tutors,

I'm fairly new to Python.  I'm working with Python v2.7.4 and the nltk package on a couple of text mining projects.  I create several dictionaries that are pretty static. Will probably only be updated every or month or every couple of months.  I want to turn those dictionaries into loadable data sets prior to running a module which uses them.  If I define several dictionaries, dict1, dict2 and dict3, in a single module named myDict, I'd like to do

from myDict import *

I've tried defining the dictionaries in a the myDict module as follows:

Dict1 = {}
with open('file1, 'rb') as infile:
    reader = csv.reader(infile, delimiter = ',')
    for row in reader:
        try:
            Dict1[ row[1] ].append(row[0])
        except:
            Dict1[ row[1] ] = [ row[0], ]

Dict2 = {}
with open('file2, 'rb') as infile:
    reader = csv.reader(infile, delimiter = ',')
    for row in reader:
        try:
            Dict2[ row[1] ].append(row[0])
        except:
            Dict2[ row[1] ] = [ row[0], ]

These are simple dictionary structures with no additional structure, i.e., not embedded in classes or functions.
The try/except sequence is because some of the keys may be duplicated in the files and I want to append the values rather than overwrite.

Now when I build the module with setup tools

python setup.py install -prefix=C:\PY_MODULES

it builds without error but I can't find the dictionaries when I load the module

    from myDict import *
AttributeError: 'module' object has no attribute 'Dict1'

How can I make the dictionaries loadable using import?

Thanks,
Bob




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