I have a file with thousands of lines like this:
Signal was returned in 204 microseconds
Signal was returned in 184 microseconds
Signal was returned in 199 microseconds
Signal was returned in 4274 microseconds
Signal was returned in 202 microseconds
Signal was returned in 189 microseconds
I try
This works under 1.5.1 and 1.6.0 but gives me errors in 1.6.1
import numpy as np
def main():
printnumpy version: + np.__version__
zdt = np.dtype([('et','i4'),('r','f8',3)])
zdata = np.loadtxt('zdum.txt', zdt)
In 1.6.1 I get this error:
ValueError: setting an array element with a
On Jul 28, 2011, at 7:42 AM, Martin Ling wrote:
On Wed, Jul 27, 2011 at 10:29:08PM -0500, Robert Love wrote:
To use quaternions I find I often need conversion to/from matrices and
to/from Euler angles. Will you add that functionality?
Yes, I intend to. Note that these conversions
To use quaternions I find I often need conversion to/from matrices and to/from
Euler angles. Will you add that functionality? Will you handle the left
versor and right versor versions?
I have a set of pure python code I've sketched out for my needs (aerospace) but
would be happy to have an
How does this match up with the recently announced release of ETS-4.0? Are the
versions of the python modules the same?
On Jul 8, 2011, at 12:37 AM, Ilan Schnell wrote:
Hello,
I am pleased to announce that EPD (Enthought Python Distribution)
version 7.1 has been released. The most
my_list = [[1960, 'W0'],[2001, 'D5']]
my_arr = np.array(my_list, dtype=('uint', '|S2'))
gives me an error I don't understand:
ValueError: mismatch in size of old and new data-descriptor
What are the old and new? I get the same problem if try np.asarray()
If I make the dtype ('|S4',
Using np.loadtxt I can easily read my file that has columns of time, mode, 3
float64 for position and 3 for velocity like this.
dt = dtype([('time', '|S12'),
('mode','|S3'),('rx','f8'),('ry','f8'),('rz','f8'),('vx','f8'),('vy','f8'),('vz','f8')])
data = np.loadtxt('file', dtype=dt)
I can
On Feb 28, 2010, at 6:24 AM, Friedrich Romstedt wrote:
2010/2/28 Robert Love rblove_li...@comcast.net:
What is the efficient numpy way to compare data from two different files?
For the nth line in each file I want to operate on the numbers. I've been
using loadtxt()
data_5x5
What is the efficient numpy way to compare data from two different files? For
the nth line in each file I want to operate on the numbers. I've been using
loadtxt()
data_5x5 = N.loadtxt(file5)
data_8x8 = N.loadtxt(file8)
for line in data_5x5:
pos5 = N.array([line[0], line[1],
On Jul 2, 2008, at 9:34 AM, Travis Vaught wrote:
Greetings,
We're pleased to announce the beta release of the Enthought Python
Distribution for *Mac OS X*.
Oh Happiness, Oh Joy. I'm downloading it now.
Have a virtual beer on me until I can get to Austin and buy you all a
real one.
/s/
I'd drive to Austin and wash and wax their cars if there was an OSX
distribution.
OK, mild exaggeration but I'd buy them a beer or two.
On Feb 28, 2008, at 9:18 AM, Steve Lianoglou wrote:
On Wed, 27 Feb 2008, Travis Vaught apparently wrote:
http://www.enthought.com/epd
Looks good.
An
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