On 26 Jun 2006 16:56:22 -0700, Jake Emerson <[EMAIL PROTECTED]> wrote:
> I'm attempting to build a process that helps me to evaluate the
> performance of weather stations. The script below operates on an MS
> Access database, brings back some data, and then loops through to pull
> out statistics. One such stat is the frequency of reports from the
> stations ('char_freq'). I have a collection of methods that operate on
> the data to return the 'char_freq' and this works great. However, when
> the process goes to insert the unique 'char_freq' into a nested
> dictionary the value gets put into ALL of the sub-keys for all of the
> weather stations.
It's a sure sign you're sharing an object. In python, unless
specifically written, an assignment-like method doesn't create copies:
>>> d = dict.fromkeys([1,2,3],[4,5,6])
>>> id(d[1]) == id(d[2])
True
Instead of
> rain_raw_dict =
> dict.fromkeys(distinctID,{'N':-6999,'char_freq':-6999,'tip1':-6999,'tip2':-6999,'tip3':-6999,'tip4':-6999,'tip5':-6999,'tip6':-6999,'lost_rain':-6999})
you should do something like this:
defaults =
{'N':-6999,'char_freq':-6999,'tip1':-6999,'tip2':-6999,'tip3':-6999,'tip4':-6999,'tip5':-6999,'tip6':-6999,'lost_rain':-6999}
rain_raw_dict = {}
for ID in [110,140,650,1440]:
rain_raw_dict[ID] = defaults.copy()
--
http://mail.python.org/mailman/listinfo/python-list
