Adam wrote:
I'm working on a class that handles multiple rooms that generate a large
amount of data. Currently my class model looks something like this (more
apologies for any indentation errors):
In my experience, what people consider "a large amount of data" and what the
computer considers
Hi Adam,
On 1 June 2012 15:45, Adam wrote:
> Is there any benefit to creating a class for each bucket (with an 'update'
> method) vs. storing those variables as a dictionary with the 'Room' class as
> {'var':0, 'avg': 0, 'sd':0, 'readings':[]} and having the Room class hold
> the update function;
At least in my own case, the 'self.rooms[z][12][85]' is a means to
accessing a 'bucket' array for a given room (z), during a given hour
(12), at a given temperature(85). Each bucket holds, the average,
variance, standard deviation and an array of previous readings (note,
readings are not temper
On Fri, Jun 1, 2012 at 9:12 AM, Adam wrote:
> I'm working on a class that handles multiple rooms that generate a large
> amount of data. Currently my class model looks something like this (more
> apologies for any indentation errors):
> Class Model:
>rooms= {}
>for z in range(num_of_zones
I'm working on a class that handles multiple rooms that generate a large
amount of data. Currently my class model looks something like this (more
apologies for any indentation errors):
Class Model:
rooms= {}
for z in range(num_of_zones):
for i in range(24):
tmp[i] = {
