[Chicago] Question about accessing dictionary's elements.
Joshua Herman
zitterbewegung at gmail.com
Sat Sep 19 20:54:24 CEST 2015
umm i can do skype
On Sat, Sep 19, 2015 at 1:46 PM Lewit, Douglas <d-lewit at neiu.edu> wrote:
> Hey Joshua! I would LOVE to, but I have classes on Wednesday and Thursday
> evenings. So.... ???
>
> On Sat, Sep 19, 2015 at 1:30 PM, Joshua Herman <zitterbewegung at gmail.com>
> wrote:
>
>> Hey I'm doing machine learning too why don't you come to one of the
>> python meet ups in Chicago
>>
>> On Sat, Sep 19, 2015 at 12:56 PM Lewit, Douglas <d-lewit at neiu.edu> wrote:
>>
>>> Hi William,
>>>
>>> I'm doing a KNN program (K-Nearest-Neighbors). I'm attaching what I've
>>> done so far. It's not complete! But I've made good progress I think.
>>> (The program won't work unless you also download the .txt file that the
>>> program uses to read in the data.)
>>>
>>> For this problem the data has to get split into two sets: a training set
>>> (kind of like a control group in an experiment) and the test set (the
>>> experimental group or its equivalent). I have to use the K smallest
>>> normalized distances to make a guess about which class the records in the
>>> Training Set belong to. (There are six classes: {1, 2, 3, 5, 6, 7}.
>>> There's no class #4.)
>>>
>>> This problem has given me a massive headache, but I think I'm almost
>>> done with it. All that's left really is to use one of the algorithms to
>>> make a decision about which class each Test record should be assigned to.
>>>
>>> Thanks for the feedback!
>>>
>>> Best,
>>>
>>> Douglas.
>>>
>>>
>>> On Sat, Sep 19, 2015 at 10:45 AM, William E. S. Clemens <
>>> wesclemens at gmail.com> wrote:
>>>
>>>> I would agree that Jimmy's solution is the correct one for doing this.
>>>> But I would avoid setting up your data structure in this manner. A dict is
>>>> a hash table and it is be extremely fast a looking up a value by key.
>>>>
>>>> You are building an array of the keys to linearly search. This
>>>> operation is going to be slow and will not scale well. If you described
>>>> what this data is and what your trying todo with it. I maybe able to
>>>> suggest a better data structure for storing and accessing it.
>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> William Clemens
>>>> Phone: 847.485.9455
>>>> E-mail: wesclemens at gmail.com
>>>>
>>>> On Sat, Sep 19, 2015 at 10:02 AM, Lewit, Douglas <d-lewit at neiu.edu>
>>>> wrote:
>>>>
>>>>> I love it! Thanks Jim.
>>>>>
>>>>> On Sat, Sep 19, 2015 at 8:09 AM, Jimmy Calahorrano via Chicago <
>>>>> chicago at python.org> wrote:
>>>>>
>>>>>> is more elegant but not sure if is the best option:
>>>>>>
>>>>>>
>>>>>> [A[key] for key in A.keys() if key[0] == 1]
>>>>>>
>>>>>>
>>>>>>
>>>>>> --------------------------------------------
>>>>>> On Sat, 9/19/15, Lewit, Douglas <d-lewit at neiu.edu> wrote:
>>>>>>
>>>>>> Subject: [Chicago] Question about accessing dictionary's elements.
>>>>>> To: "The Chicago Python Users Group" <chicago at python.org>
>>>>>> Date: Saturday, September 19, 2015, 7:43 AM
>>>>>>
>>>>>> Hi
>>>>>> guys,
>>>>>> I have a problem and not
>>>>>> sure how to address it. Let's say I have a simple
>>>>>> dictionary such as.
>>>>>> A = { (1, 2) : 10, (1, 3) :
>>>>>> 15, (1, 4) : 50, (2, 0) : 2, (2, 5) : 8, (2, 12) : 19
>>>>>> }
>>>>>> I would like to access any
>>>>>> and all tuples whose first value is 1 or let's say 2.
>>>>>> How would I do that?
>>>>>> So what I'm trying to
>>>>>> go for is:
>>>>>> A[(1, placeholder for any
>>>>>> int value)] thus giving me all the values that correspond to
>>>>>> (1, #). Not really sure how to go about this. Unless....
>>>>>> I suppose I could do something like
>>>>>> this:
>>>>>> for key in
>>>>>> A: if list(key)[0]
>>>>>> == 1:
>>>>>> print(A[key]) #### Or whatever I want to do with the
>>>>>> number.
>>>>>> Hmmm.... maybe that would
>>>>>> work, but is there a more "elegant" way to do
>>>>>> this? Is there any "pattern matching" in Python
>>>>>> so that I could do this:
>>>>>> A[(1, #placeholder for any
>>>>>> int )]
>>>>>> Hey, thanks for your
>>>>>> help.
>>>>>> By the way, has anyone seen
>>>>>> the book LEARNING PYTHON by Mark Lutz? Wow! Full of
>>>>>> great information, but the book is HUGE!!! I'll have
>>>>>> serious back problems if I carry that thing around in my
>>>>>> backpack! There's something about small, lightweight
>>>>>> books that I really prefer. (And then there's eBooks,
>>>>>> but that's a horse of a different color in my
>>>>>> opinion.)
>>>>>> Have a great weekend and
>>>>>> I'm looking forward to some ideas on the above
>>>>>> problem. Thanks in advance.
>>>>>> Best,
>>>>>> Douglas
>>>>>> L.
>>>>>>
>>>>>> -----Inline Attachment Follows-----
>>>>>>
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>>>>>
>>>>>
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