"Tim Michelsen" <[EMAIL PROTECTED]> wrote
>> A list comprehension will work for this. If data is a list of
>> triples of
>> (year, month, volume) then this will give you a list of the 1997
>> triples:
>>
>> data1997 = [ item for item in data if item[0]==1997 ]
Note4 that for this to work it a
Hello,
> A list comprehension will work for this. If data is a list of triples of
> (year, month, volume) then this will give you a list of the 1997 triples:
>
> data1997 = [ item for item in data if item[0]==1997 ]
I tried your code out (see below).
Here is the output:
[]
[]
[]
[]
[]
[1990,
Hello,
> If you show us what you have done so far it would be easier to make
> suggestions.
The thing is that I am working a lot with time series data and need to write
criteria based filters for that data.
There's already a start in SciPy Time Series package:
http://www.scipy.org/SciPyPackages/Tim
Tim Michelsen wrote:
> Hello,
> would like to ask for your help on the following issue:
> What procedure can I use to detect if there's a change when iterating
> over a list?
>
> For instance if I want to extract the years 1997 and 1998 from the table
> below and save them into separate files?
Hello,
would like to ask for your help on the following issue:
What procedure can I use to detect if there's a change when iterating
over a list?
For instance if I want to extract the years 1997 and 1998 from the table
below and save them into separate files?
How do I build the average only on t
