ipython
import numpy
dir(numpy)
Thanks!
Nick
> On Tue, Jun 8, 2010 at 10:30 PM, Nick Matzke
> <mailto:mat...@berkeley.edu>> wrote:
>
> Hi NumPy gurus,
>
> I have a slightly weird question. I would like to
install
> the PyCoge
ittle library to work.
Cheers!
Nick
Nick Matzke wrote:
Hi all,
I have a slightly weird question. I would like to install the PyCogent
library. However, this requires NumPy 1.3 or higher. I only have NumPy
1.1.1, because I got it as part of the Enthought Python Distribution
(4.1) back in
Hi all,
I have a slightly weird question. I would like to install
the PyCogent library. However, this requires NumPy 1.3 or
higher. I only have NumPy 1.1.1, because I got it as part
of the Enthought Python Distribution (4.1) back in 2008.
Now, when I download & install a new version of Nu
tent2 = unescape(line)
ascii_content = unicodedata.normalize('NFKD',
unicode(ascii_content2)).encode('ascii','ignore')
The string "line" would give the error, but ascii_content does not.
Cheers!
Nick
PS: "asciiDammit" is also fun to look at
Apologies, I figured there was some easy, obvious solution, since there
is in BBedit. I will explain further...
John Machin wrote:
On Jun 11, 6:09 am, Nick Matzke wrote:
Hi all,
So I'm parsing an XML file returned from a database. However, the
database entries have occasional non-
Hi all,
So I'm parsing an XML file returned from a database. However, the
database entries have occasional non-ASCII characters, and this is
crashing my parsers.
Is there some handy function out there that will schlep through a file
like this, and do something like fix the characters that i
This is a general question, but maybe there is some obvious solution
I've missed.
When I am writing code, I have a main script that calls functions in
another .py file. When there is a bug or crash in the main script, in
IPython I can just start typing the names of variables etc. to see what
Looks like "compress" is the right numpy function, but it took forever
for me to find it...
x = array([[1,2,3], [4,5,6], [7,8,9]], dtype=float)
compress([1,2], x, axis=1)
result:
array([[ 1., 2.],
[ 4., 5.],
[ 7., 8.]])
Gary Herron wrote:
Nick Matzke wrote:
Hi
Hi,
So I've got a square floating point array that is about 1000 x 1000. I
need to subset this array as efficiently as possible based on an
ordered sublist of the list of rownames/colnames (they are the same,
this is a symmetric array).
e.g., if sublist is of length 500, and matches the ro
Nevermind, I was running the pylab hist; the numpy.histogram function
generates the bar counts etc. without plotting the histogram.
Cheers!
Nick
Nick Matzke wrote:
Hi,
Is there a way to run the numpy hist function or something similar and
get the outputs (bins, bar heights) without actually
Hi,
Is there a way to run the numpy hist function or something similar and
get the outputs (bins, bar heights) without actually producing the plot
on the screen?
(R has a plot = false option, something like this is what I'm looking
for...)
Cheers!
Nick
--
o
it.)
Thanks!
Nick
Diez B. Roggisch wrote:
Nick Matzke schrieb:
Scott David Daniels wrote:
M.-A. Lemburg wrote:
On 2009-02-05 10:08, Nick Matzke wrote:
..., I can run this in the ipython shell just fine:
a = ["12", "15", "16", "38.2"]
dim = int(sqrt(s
Scott David Daniels wrote:
M.-A. Lemburg wrote:
On 2009-02-05 10:08, Nick Matzke wrote:
..., I can run this in the ipython shell just fine:
a = ["12", "15", "16", "38.2"]
dim = int(sqrt(size(a)))
...But if I move these commands to a function in anothe
Hi all,
So, I can run this in the ipython shell just fine:
===
a = ["12", "15", "16", "38.2"]
dim = int(sqrt(size(a)))
dim
>2
===
But if I move these commands to a function in another file, it freaks out:
=
a = distances_matrix.split('\t')
fro
Chris Rebert wrote:
On Wed, Feb 4, 2009 at 5:20 PM, Nick Matzke wrote:
Hi all,
So I have an interesting challenge. I want to compare two book chapters,
which I have in plain text format, and find out (a) percentage similarity
and (b) what has changed.
Some features make this problem
Hi all,
So I have an interesting challenge. I want to compare two book
chapters, which I have in plain text format, and find out (a) percentage
similarity and (b) what has changed.
Some features make this problem different than what seems to be the
standard text-matching problem solvable wi
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