On Thu, Feb 12, 2009 at 6:04 PM, Keith Goodman wrote:
> On Thu, Feb 12, 2009 at 5:52 PM, Keith Goodman wrote:
>> On Thu, Feb 12, 2009 at 5:22 PM, A B wrote:
>>> Are there any routines to fill in the gaps in an array. The simplest
>>> would be by carrying the last known observation forward.
>>> 0
On Thu, Feb 12, 2009 at 5:52 PM, Keith Goodman wrote:
> On Thu, Feb 12, 2009 at 5:22 PM, A B wrote:
>> Are there any routines to fill in the gaps in an array. The simplest
>> would be by carrying the last known observation forward.
>> 0,0,10,8,0,0,7,0
>> 0,0,10,8,8,8,7,7
>
> Here's an obvious hac
On Thu, Feb 12, 2009 at 5:22 PM, A B wrote:
> Are there any routines to fill in the gaps in an array. The simplest
> would be by carrying the last known observation forward.
> 0,0,10,8,0,0,7,0
> 0,0,10,8,8,8,7,7
Here's an obvious hack for 1d arrays:
def fill_forward(x, miss=0):
y = x.copy()
On Feb 12, 2009, at 8:22 PM, A B wrote:
> Hi,
> Are there any routines to fill in the gaps in an array. The simplest
> would be by carrying the last known observation forward.
> 0,0,10,8,0,0,7,0
> 0,0,10,8,8,8,7,7
> Or by somehow interpolating the missing values based on the previous
> and next k
Hi,
Are there any routines to fill in the gaps in an array. The simplest
would be by carrying the last known observation forward.
0,0,10,8,0,0,7,0
0,0,10,8,8,8,7,7
Or by somehow interpolating the missing values based on the previous
and next known observations (mean).
Thanks.
__
