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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