For a beginner, I think "pythonxy" is a good option.
Then you don't have to worry about the compatibility issue.
http://www.pythonxy.com/
and as for the plotting, you can use the following packages:
2D - Matplotlib or Gnuplot (both are good ... but, if you want Matlab kind
of environment, try Matp
Thanks Alan,
Best regards
Sachin
Sachin Kumar Sharma
Senior Geomodeler
-Original Message-
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Alan G Isaac
Sent: Frid
On 11/18/2010 9:48 PM, Sachin Kumar Sharma wrote:
> Does graphic output like maps, histogram, crossplot, tornado charts is good
> enough with basic installation or needs some additional packages?
For the graphics, you should probably first consider Matplotlib.
For your other questions, perhaps l
Users,
I am an average Fortran user.
I am new to python and I am currently evaluating options and functionalities of
numerical programming and related 2d and 3d graphic outputs with python.
Kindly share your experience in scientific programming with python like how do
you like it, comparison
On Oct 5, 2008, at 10:53 PM, T J wrote:
> Hi,
>
> I'm getting a couple of test failures with Python 2.6, Numpy 1.2.0, Nose
> 0.10.4:
Wow, 1.2.0 ? That's fairly ancient. I gather the bugs in numpy.ma have been
corrected since (they don't really look familiar, though). And with a more
recent n
I'm having almost exactly the same problem, but with Python 2.6.1,
Numpy 1.2.1, and Nose 0.11.3. Nobody responded to TJ the first time
around, so any advice would be greatly appreciated.
Thanks,
Brad
--
From: T J gmail.com>
Subj
On Nov 18, 2010, at 6:49 AM, Venkat wrote:
> I am trying to reshape my text data which is in one single column (10,000
> rows).
> I want the data to be in 100x100 array form.
If all you want to do is converting the actual files, and you are using a
unix-ish operating system, you don't even need
On 11/18/10 7:40 AM, Dave Hirschfeld wrote:
> In [7]: data = np.loadtxt('dummy_data.txt')
or, faster:
data = np.fromfile('dummy_data.txt', dtype=np.float64, sep = ' ')
fromfile() is not very flexible, and doesn't have good error handling,
but it's a lot faster than loadtxt for the simple cases
On Thu, Nov 18, 2010 at 10:08 AM, Francesc Alted wrote:
> A Thursday 18 November 2010 18:51:04 Keith Goodman escrigué:
>> What's the best way to make it return a numpy long int, or whatever
>> it is called, that has dtype, ndim, size, etc. class methods? The
>> only thing I could come up with is
A Thursday 18 November 2010 19:08:00 Francesc Alted escrigué:
> >>> type(np.int_(2))
Err, for maximum portability you can use the int64 constructor:
>>> type(np.int64(2))
Cheers,
--
Francesc Alted
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A Thursday 18 November 2010 18:51:04 Keith Goodman escrigué:
> The cython function below returns a long int:
>
> @cython.boundscheck(False)
> def mysum(np.ndarray[np.int64_t, ndim=1] a):
> "sum of 1d numpy array with dtype=np.int64."
> cdef Py_ssize_t i
> cdef int a
The cython function below returns a long int:
@cython.boundscheck(False)
def mysum(np.ndarray[np.int64_t, ndim=1] a):
"sum of 1d numpy array with dtype=np.int64."
cdef Py_ssize_t i
cdef int asize = a.shape[0]
cdef np.int64_t asum = 0
for i in range(a
Anyone tried building numpy with amdlibm?
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El jeu., 18-11-2010 a las 20:19 +0530, Venkat escribió:
> I have many files to convert like this. All of them are having file
> names like 0, 1, 2, 500. with out any extension.
> Actually, I renamed actual files so that I can import them in Matlab
> for batch processing. Since Matlab also new f
Venkat gmail.com> writes:
>
> Hi All,I am new to Numpy (also Scipy).I am trying to reshape my text data
which is in one single column (10,000 rows).I want the data to be in 100x100
array form.I have many files to convert like this. All of them are having file
names like 0, 1, 2, 500. with ou
Do you want to save the file to disk as 100x100 matrices, or just to read them
into the memory?
Are the files in ascii or binary format?
Nadav
From: numpy-discussion-boun...@scipy.org [numpy-discussion-boun...@scipy.org]
On Behalf Of Venkat [dvr...@gmai
Hi All,
I am new to Numpy (also Scipy).
I am trying to reshape my text data which is in one single column (10,000
rows).
I want the data to be in 100x100 array form.
I have many files to convert like this. All of them are having file names
like 0, 1, 2, 500. with out any extension.
Actually,
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