Hi,
Absolute basic question I want to do following
*Read data from excel sheet (three columns - X,Y,Z)
*Curve fit a function Z=F(X,Y)
*Plot X Vs Z (from data) and plot X Vs Z (from curve fit)
Kindly advise me how to write a basic python script for the same.
Thanks &
Waqar Rashid, on 2011-01-02 00:38, wrote:
> Hi,
>
> trying to install numpy on MacOS with python 3.1
>
> Having installation issues. Has anyone managed to install this on the Mac?
>
> regards
>
Waqar - you sent this to the IPython-User list, but I think you
probably meant to send it to the n
On Mon, Jan 3, 2011 at 11:26, Eric Firing wrote:
> Instead of calculating statistics independently each time the window is
> advanced one data point, the statistics are updated. I have not done
> any benchmarking, but I expect this approach to be quick.
This might accumulate numerical errors. Bu
On 12/31/2010 06:29 PM, Erik Rigtorp wrote:
> Hi,
>
> Implementing moving average, moving std and other functions working
> over rolling windows using python for loops are slow. This is a
> effective stride trick I learned from Keith Goodman's
> Bottleneck code but generalized into arrays of
> an
On Mon, Jan 3, 2011 at 10:52, Keith Goodman wrote:
> On Mon, Jan 3, 2011 at 7:41 AM, Erik Rigtorp wrote:
>> On Mon, Jan 3, 2011 at 10:36, Keith Goodman wrote:
>>> On Mon, Jan 3, 2011 at 5:37 AM, Erik Rigtorp wrote:
>>>
It's only a view of the array, no copying is done. Though some
ope
On Mon, Jan 3, 2011 at 7:41 AM, Erik Rigtorp wrote:
> On Mon, Jan 3, 2011 at 10:36, Keith Goodman wrote:
>> On Mon, Jan 3, 2011 at 5:37 AM, Erik Rigtorp wrote:
>>
>>> It's only a view of the array, no copying is done. Though some
>>> operations like np.std() will copy the array, but that's more
On Mon, Jan 3, 2011 at 10:36, Keith Goodman wrote:
> On Mon, Jan 3, 2011 at 5:37 AM, Erik Rigtorp wrote:
>
>> It's only a view of the array, no copying is done. Though some
>> operations like np.std() will copy the array, but that's more of a
>> bug. In general It's hard to imagine any speedup g
On Mon, Jan 3, 2011 at 5:37 AM, Erik Rigtorp wrote:
> It's only a view of the array, no copying is done. Though some
> operations like np.std() will copy the array, but that's more of a
> bug. In general It's hard to imagine any speedup gains by copying a
> 10GB array.
I don't think that np.std
On Fri, Dec 31, 2010 at 8:29 PM, Erik Rigtorp wrote:
> Implementing moving average, moving std and other functions working
> over rolling windows using python for loops are slow. This is a
> effective stride trick I learned from Keith Goodman's
> Bottleneck code but generalized into arrays of
>
On Mon, Jan 3, 2011 at 05:13, Sebastian Haase wrote:
> Hi Erik,
> This is really neat ! Do I understand correctly, that you mean by
> "stride tricks", that your rolling_window is _not_ allocating any new
> memory ?
Yes, it's only a view.
> IOW, If I have a large array using 500MB of memory, say
Hi Erik,
This is really neat ! Do I understand correctly, that you mean by
"stride tricks", that your rolling_window is _not_ allocating any new
memory ?
IOW, If I have a large array using 500MB of memory, say of float32 of
shape 125,1000,1000 and I want the last axis rolling of window size
11, wh
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