Hi.
Sorry for not having been clearer. I'll explain a little bit.
I have 4k x 4k images that I want to analyse. I turn them into numpy arrays so
I have 4k x 4k np.array.
My analysis starts with determining the bias level. To do that, I compute for
each line, and then for each row, an
How about something like this:
# numpy 1.6
def rowhist(A, bins=100):
assert (bins 0)
assert isinstance(bins, int)
rownum = np.arange(A.shape[0]).reshape((-1, 1)).astype(int) * bins
intA = (bins * (A - A.min()) / float(A.max() - A.min())).astype(int)
intA[intA == bins] = bins
Hi,
On Wed, Mar 30, 2011 at 10:04 AM, Éric Depagne e...@depagne.org wrote:
Hi.
Sorry for not having been clearer. I'll explain a little bit.
I have 4k x 4k images that I want to analyse. I turn them into numpy arrays
so
I have 4k x 4k np.array.
My analysis starts with determining the
Dear List,
I have a quick question regarding vstack and concatenate.
In the docs for vstack it says that:
np.concatenate(tup, axis=0)
should be equivalent to:
np.vstack(tup)
However, I tried this out and it doesn't seem to be case, i.e.
np.vstack((np.arange(5.), np.arange(5.)))
array([[ 0.,
Well I guess, for a slight performance improvement, you could create your
own streamlined histogrammer.
But, in order to better grasp your situation it would be beneficial to know
how the counts and bounds are used later on. Just wondering if this kind
massive histogramming could be
You're right, they are not equivalent. vstack will happily create an
array of higher rank than the parts it is stacking, whereas
concatenate requires the arrays it is working with to already be at
least 2d, so the equivalent is
np.concatenate((np.arange(5.)[newaxis],np.arange(5.)[newaxis]),
On Wed, Mar 30, 2011 at 1:42 PM, gary ruben gru...@bigpond.net.au wrote:
You're right, they are not equivalent. vstack will happily create an
array of higher rank than the parts it is stacking, whereas
concatenate requires the arrays it is working with to already be at
least 2d, so the
On Wed, Mar 30, 2011 at 3:39 AM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Mon, Mar 28, 2011 at 11:29 PM, josef.p...@gmail.com wrote:
numpy/lib/test_io.py only uses StringIO in the test, no actual csv file
If I give the filename than I get a TypeError: Can't convert 'bytes'
Hi,After numpy upgrade, I started to get "Warning: invalid value encountered in true_divide," when I run a code which did now show any warningpreviously.What does it mean and where should I look to fix this? It does not stop my debugger so I could not identify where the message was from.Thank
On Wed, Mar 30, 2011 at 12:12, Joon Ro joonp...@gmail.com wrote:
Hi,
After numpy upgrade, I started to get Warning: invalid value encountered in
true_divide, when I run a code which did now show any warning previously.
What does it mean and where should I look to fix this?
It means that a NaN
Hi,
On Wed, Mar 30, 2011 at 10:02 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Wed, Mar 30, 2011 at 3:39 AM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Mon, Mar 28, 2011 at 11:29 PM, josef.p...@gmail.com wrote:
numpy/lib/test_io.py only uses StringIO in the test, no
On Wed, Mar 30, 2011 at 7:37 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Wed, Mar 30, 2011 at 10:02 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Wed, Mar 30, 2011 at 3:39 AM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
On Mon, Mar 28, 2011 at 11:29 PM,
On Wed, 30 Mar 2011 10:37:45 -0700, Matthew Brett wrote:
[clip]
imagine I'm working with a non-latin default encoding, and I've opened a
file:
fobj = open('my_nonlatin.txt', 'rt')
in python 3.2. That might contain numbers and non-latin text. I can't
pass that into 'genfromtxt' because
Hi,
This followup on tickets that I had previously indicated. So I want to
thank Mark, Ralph and any people for going over those!
For those that I followed I generally agreed with the outcome.
Ticket 301: 'Make power and divide return floats from int inputs (like
true_divide)'
Hi,
On Wed, Mar 30, 2011 at 11:32 AM, Pauli Virtanen p...@iki.fi wrote:
On Wed, 30 Mar 2011 10:37:45 -0700, Matthew Brett wrote:
[clip]
imagine I'm working with a non-latin default encoding, and I've opened a
file:
fobj = open('my_nonlatin.txt', 'rt')
in python 3.2. That might contain
On Thu, Mar 24, 2011 at 5:25 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Thu, Mar 24, 2011 at 5:11 PM, Robert Kern robert.k...@gmail.com wrote:
2011/3/24 Dmitrey tm...@ukr.net:
from numpy import inf, array
inf*0
nan
(ok)
array(inf) * 0.0
StdErr: Warning: invalid value
On Wed, Mar 30, 2011 at 2:37 PM, Bruce Southey bsout...@gmail.com wrote:
Hi,
This followup on tickets that I had previously indicated. So I want to
thank Mark, Ralph and any people for going over those!
For those that I followed I generally agreed with the outcome.
Ticket 301: 'Make power
On 30 Mar 2011, at 23:26, Benjamin Root wrote:
Ticket 301: 'Make power and divide return floats from int inputs (like
true_divide)'
http://projects.scipy.org/numpy/ticket/301
Invalid because the output dtype is the same as the input dtype unless
you override using the dtype argument:
Hi,
On 30 Mar 2011, at 21:37, Bruce Southey wrote:
Ticket 1071: 'loadtxt fails if the last column contains empty value'
http://projects.scipy.org/numpy/ticket/1071
Invalid mainly because loadtxt states that 'Each row in the text file
must have the same number of values.' So of cause loadtxt
On Wed, Mar 30, 2011 at 16:03, Ralf Gommers ralf.gomm...@googlemail.com wrote:
On Thu, Mar 24, 2011 at 5:25 PM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
On Thu, Mar 24, 2011 at 5:11 PM, Robert Kern robert.k...@gmail.com wrote:
We really should change the default to 'warn' for numpy
On Fri, Mar 25, 2011 at 10:00 AM, Eli Stevens (Gmail)
wickedg...@gmail.com wrote:
Can anyone please give me some suggestions on how to go about writing
a unit test for this? Or should I just submit a pull request?
I've gotten a bit of positive feedback to adding the 'e' type to the
struct
On Sun, Mar 27, 2011 at 4:09 AM, Paul Anton Letnes
paul.anton.let...@gmail.com wrote:
On 26. mars 2011, at 21.44, Derek Homeier wrote:
Hi Paul,
having had a look at the other tickets you dug up,
My opinions are my own, and in detail, they are:
1752:
I attach a possible patch.
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