2012/2/23 Vincent Schut
> On 02/22/2012 10:45 PM, Chao YUE wrote:
> > Hi all,
> >
> > Is anyone using some python geospatial package that can do jobs like
> > intersection, etc. the job is like you automatically extract a region
> > on a global map etc.
> >
> > thanks and cheers,
> >
> > Chao
>
Hi.
I'm trying to read a big netcdf file (445 Mb) using netcdf4-python.
The data are described as:
*The GEBCO gridded data set is stored in NetCDF as a one dimensional array
of 2-byte signed integers that represent integer elevations in metres.
The complete data set gives global coverage. It cons
Hi, all.
Thank you very much for your replies.
I am obtaining some issues. If I use netcdf4-python or scipy.io.netcdf
libraries:
In [4]: import netCDF4 as n4
In [5]: from scipy.io import netcdf as nS
In [6]: import numpy as np
In [7]: gebco4 = n4.Dataset('GridOne.grd', 'r')
In [8]: gebcoS = nS.n
Quoting Chao YUE :
>
> > Dear all,
> >
> > I want to change some variable values in a series of NetCDF file. Did
> > anybody else did this before using python?
> > Now I use pupynere for reading data from NetCDF files and making plots.
> but
> > the document of pupynere for writing data to NetCDF
2012/2/13 Andrea Gavana
> -- Forwarded message --
> From: "Andrea Gavana"
> Date: Feb 13, 2012 11:31 PM
> Subject: Re: [Numpy-discussion] Creating parallel curves
> To: "Jonathan Hilmer"
>
> Thank you Jonathan for this, it's exactly what I was looking for. I' ll
> try it tomorro
Hi all,
I am trying to calculate a Hessian. I am using numdifftools for this (
https://pypi.python.org/pypi/Numdifftools).
My question is, is it possible to make it using pure numpy?.
The actual code is like this:
*import numdifftools as nd*
*import numpy as np*
*def log_likelihood(params):*
d and I was wondering if Numpy/Scipy
already had something similar to that provided by NumDiffTools.
Thanks again.
>
> On 8 August 2014 08:31, Kiko wrote:
>
>> Hi all,
>>
>> I am trying to calculate a Hessian. I am using numdifftools for this (
>> http
2014-08-08 16:37 GMT+02:00 Eelco Hoogendoorn :
> Do it in pure numpy? How about copying the source of numdifftools?
>
Of course it is a solution. I was just wondering if it exist something
similar in the numpy/scipy packages so I do not have to use a new third
party library to do that.
> What e
2015-03-24 11:02 GMT+01:00 questions anon :
> I would like to find the nearest coord in a netcdf from a given latitude
> and longitude.
> I found some fantastic code that does this -
> http://nbviewer.ipython.org/github/Unidata/unidata-python-workshop/blob/master/netcdf-by-coordinates.ipynb
> but
2015-10-02 9:38 GMT+02:00 Alex Rogozhnikov :
> I would suggest
>>
>> %matplotlib notebook
>>
>> It will still have to a nice png, but you get an interactive figure when
>> it is live.
>>
>
> Amazing, thanks. I was using mpld3 for this.
> (for some strange reason I need to put %matplotlib notebook
2015-10-02 9:48 GMT+02:00 Kiko :
>
>
> 2015-10-02 9:38 GMT+02:00 Alex Rogozhnikov :
>
>> I would suggest
>>>
>>> %matplotlib notebook
>>>
>>> It will still have to a nice png, but you get an interactive figure when
>>> it is live.
is it python3.5 compatible? your message and github don't say the same.
2016-01-23 19:12 GMT+01:00, Charles R Harris :
>
>
> Congratulations.
>
> Chuck
>
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BTW, congratulations and thanks for the hard work
2016-01-23 20:12 GMT+01:00, Kiko :
> is it python3.5 compatible? your message and github don't say the same.
>
> 2016-01-23 19:12 GMT+01:00, Charles R Harris :
>>
>>
>&
2016-02-20 17:58 GMT+01:00 Ralf Gommers :
>
>
> On Wed, Feb 17, 2016 at 9:46 PM, Sebastian Berg <
> sebast...@sipsolutions.net> wrote:
>
>> On Mi, 2016-02-17 at 20:59 +0100, Jaime Fernández del Río wrote:
>> > Hi all,
>> >
>> > I just found out there is a PyData Madrid happening in early April,
>>
2016-02-20 20:13 GMT+01:00 David Cournapeau :
>
>
> On Sat, Feb 20, 2016 at 5:26 PM, Kiko wrote:
>
>>
>>
>> 2016-02-20 17:58 GMT+01:00 Ralf Gommers :
>>
>>>
>>>
>>> On Wed, Feb 17, 2016 at 9:46 PM, Sebastian Berg <
>>> s
2016-12-22 17:44 GMT+01:00 Nicolas P. Rougier :
>
> Dear all,
>
> I've just put online a (kind of) book on Numpy and more specifically about
> vectorization methods. It's not yet finished, has not been reviewed and
> it's a bit rough around the edges. But I think there are some material that
> can
2017-02-22 16:23 GMT+01:00 Alex Rogozhnikov :
> Hi Francesc,
> thanks a lot for you reply and for your impressive job on bcolz!
>
> Bcolz seems to make stress on compression, which is not of much interest
> for me, but the *ctable*, and chunked operations look very appropriate to
> me now. (Of cou
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