Re: [Numpy-discussion] AttributeError with shape command

2012-03-26 Thread Olivier Delalleau
It means "array" is a regular Python list and not a numpy array. Use numpy.array(array) to convert it into an array. -=- Olivier Le 26 mars 2012 20:07, Stephanie Cooke a écrit : > Hello, > > I am new to numpy. When I try to use the command array.shape, I get > the following error: > > Attribute

Re: [Numpy-discussion] AttributeError with shape command

2012-03-26 Thread Derek Homeier
On 27.03.2012, at 2:07AM, Stephanie Cooke wrote: > I am new to numpy. When I try to use the command array.shape, I get > the following error: > > AttributeError: 'list' object has no attribute 'shape' > > Is anyone familiar with this type of error? It means 'array' actually is not one, more pre

[Numpy-discussion] AttributeError with shape command

2012-03-26 Thread Stephanie Cooke
Hello, I am new to numpy. When I try to use the command array.shape, I get the following error: AttributeError: 'list' object has no attribute 'shape' Is anyone familiar with this type of error? Thanks ___ NumPy-Discussion mailing list NumPy-Discussio

Re: [Numpy-discussion] How to Extract the Number of Rows and Columns in a Matrix

2012-03-26 Thread Derek Homeier
On 27.03.2012, at 1:26AM, Olivier Delalleau wrote: > len(M) will give you the number of rows of M. > For columns I just use M.shape[1] myself, I don't know if there exists a > shortcut. > You can use tuple unpacking, if that helps keeping your code conciser… nrow, ncol = M.shape Cheers,

Re: [Numpy-discussion] "arg" searchsorted

2012-03-26 Thread Charles R Harris
On Mon, Mar 26, 2012 at 4:32 PM, Bryan Van de Ven wrote: > On 3/26/12 4:57 PM, Charles R Harris wrote: > > > On Mon, Mar 26, 2012 at 3:34 PM, Bryan Van de Ven wrote: > >> I recently got asked about an "arg" version of searchsorted, basically a >> version that could take a sorter as an additional

Re: [Numpy-discussion] How to Extract the Number of Rows and Columns in a Matrix

2012-03-26 Thread Olivier Delalleau
len(M) will give you the number of rows of M. For columns I just use M.shape[1] myself, I don't know if there exists a shortcut. -=- Olivier Le 26 mars 2012 19:03, Stephanie Cooke a écrit : > Hello, > > I would like to extract the number of rows and columns of a matrix > individually. The shape

[Numpy-discussion] How to Extract the Number of Rows and Columns in a Matrix

2012-03-26 Thread Stephanie Cooke
Hello, I would like to extract the number of rows and columns of a matrix individually. The shape command outputs the rows and columns together, but are there commands that will separately give the rows and separately give the columns? Thanks ___ NumPy-

Re: [Numpy-discussion] "arg" searchsorted

2012-03-26 Thread Bryan Van de Ven
On 3/26/12 4:57 PM, Charles R Harris wrote: On Mon, Mar 26, 2012 at 3:34 PM, Bryan Van de Ven > wrote: I recently got asked about an "arg" version of searchsorted, basically a version that could take a sorter as an additional argument. For instance:

Re: [Numpy-discussion] "arg" searchsorted

2012-03-26 Thread Charles R Harris
On Mon, Mar 26, 2012 at 3:34 PM, Bryan Van de Ven wrote: > I recently got asked about an "arg" version of searchsorted, basically a > version that could take a sorter as an additional argument. For instance: > > In [13]: a = np.array([5,6,8,1,6,9,0]) > > In [14]: s = np.argsort(a) > >

[Numpy-discussion] "arg" searchsorted

2012-03-26 Thread Bryan Van de Ven
I recently got asked about an "arg" version of searchsorted, basically a version that could take a sorter as an additional argument. For instance: In [13]: a = np.array([5,6,8,1,6,9,0]) In [14]: s = np.argsort(a) In [17]: s Out[17]: array([6, 3, 0, 1, 4, 2, 5]) In [18]

Re: [Numpy-discussion] label NA and datetime as experimental

2012-03-26 Thread Richard Hattersley
OK - that's useful feedback. Thanks! On 26 March 2012 21:03, Ralf Gommers wrote: > > > On Mon, Mar 26, 2012 at 5:42 PM, Charles R Harris > wrote: >> >> >> >> On Mon, Mar 26, 2012 at 2:29 AM, Richard Hattersley >> wrote: >>> >>> Hi, >>> >>> My team are currently experimenting with extending dat

Re: [Numpy-discussion] label NA and datetime as experimental

2012-03-26 Thread Ralf Gommers
On Mon, Mar 26, 2012 at 5:42 PM, Charles R Harris wrote: > > > On Mon, Mar 26, 2012 at 2:29 AM, Richard Hattersley > wrote: > >> Hi, >> >> My team are currently experimenting with extending datetime to allow >> alternative, non-physical calendars (e.g. 360-day used by climate >> modellers). Once

Re: [Numpy-discussion] label NA and datetime as experimental

2012-03-26 Thread Charles R Harris
On Mon, Mar 26, 2012 at 2:29 AM, Richard Hattersley wrote: > Hi, > > My team are currently experimenting with extending datetime to allow > alternative, non-physical calendars (e.g. 360-day used by climate > modellers). Once we've got a handle on the options we'd like to > propose the extensions/c

Re: [Numpy-discussion] Linking against MKL but still slow?

2012-03-26 Thread David Cournapeau
Hi Christoph, On Mon, Mar 26, 2012 at 10:06 AM, Christoph Dann wrote: > Dear list, > > so far I used Enthoughts Python Distribution which contains a compiled > version of numpy linked against MKL. Now, I want to implement my own > extensions to numpy, so I need my build numpy on my own. So, I ins

[Numpy-discussion] Linking against MKL but still slow?

2012-03-26 Thread Christoph Dann
Dear list, so far I used Enthoughts Python Distribution which contains a compiled version of numpy linked against MKL. Now, I want to implement my own extensions to numpy, so I need my build numpy on my own. So, I installed Intel Parallel studio including MKL and the C / Fortran compilers. I l

[Numpy-discussion] Linking against MKL but still slow?

2012-03-26 Thread Christoph Dann
Dear list, so far I used Enthoughts Python Distribution which contains a compiled version of numpy linked against MKL. Now, I want to implement my own extensions to numpy, so I need my build numpy on my own. So, I installed Intel Parallel studio including MKL and the C / Fortran compilers. I link

Re: [Numpy-discussion] label NA and datetime as experimental

2012-03-26 Thread Richard Hattersley
Hi, My team are currently experimenting with extending datetime to allow alternative, non-physical calendars (e.g. 360-day used by climate modellers). Once we've got a handle on the options we'd like to propose the extensions/changes back to NumPy. Obviously we'd like to avoid wasted effort, so ar