On 05/17/2017 06:15 PM, Luis JM Amoreira wrote:
Hi,
If your arrays have shape (300,1) (single column, 300 rows right?) then
M = numpy.hstack((array1, array2)) is an array with shape (300, 2) (300
rows, 2 columns) and M.T is 2 by 300 [shape (2, 300)]. Take an example:
In [11]: import numpy as np
In [12]: a1=np.random.rand(3,1)
In [13]: a1
Out[13]:
array([[ 0.09042866],
[ 0.63008665],
[ 0.99106757]])
In [14]: a2=np.random.rand(3,1)
In [15]: np.hstack((a1,a2))
Out[15]:
array([[ 0.09042866, 0.99965848],
[ 0.63008665, 0.12334957],
[ 0.99106757, 0.43502637]])
In [16]: np.hstack((a1,a2)).T
Out[16]:
array([[ 0.09042866, 0.63008665, 0.99106757],
[ 0.99965848, 0.12334957, 0.43502637]])
Hope this helps!
ze
On 05/17/2017 08:50 PM, Stephen P. Molnar wrote:
I'm beginning to think that I don't know how to ask the question as
Google and Stack Overflow have resulted in nothing. All of the
results seem to deal with integers.
I have a number of single column floating point arrays each containing
300 entries that I want to combine into a n by 300 array where n is
the number of single column arrays.
I have tried zip, np.concatenate etc with only failure.
Thanks in advance.
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Thanks for your reply.
Here's what I get:
Traceback (most recent call last):
File "<ipython-input-7-5173f5e64beb>", line 1, in <module>
runfile('/home/comp/Apps/Python/Molecular_Transforms/Basic/MolT_app_1.py',
wdir='/home/comp/Apps/Python/Molecular_Transforms/Basic')
File
"/home/comp/Apps/anaconda3/lib/python3.6/site-packages/spyder/utils/site/sitecustomize.py",
line 880, in runfile
execfile(filename, namespace)
File
"/home/comp/Apps/anaconda3/lib/python3.6/site-packages/spyder/utils/site/sitecustomize.py",
line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File
"/home/comp/Apps/Python/Molecular_Transforms/Basic/MolT_app_1.py", line
289, in <module>
f.write("\n".join("".join(map(str, x)) for x in (name_I_app)))
File
"/home/comp/Apps/Python/Molecular_Transforms/Basic/MolT_app_1.py", line
289, in <genexpr>
f.write("\n".join("".join(map(str, x)) for x in (name_I_app)))
TypeError: 'numpy.float64' object is not iterable
However, numpy.column_stack works.
Problem solved.
--
Stephen P. Molnar, Ph.D. Life is a fuzzy set
www.molecular-modeling.net Stochastic and multivariate
(614)312-7528 (c)
Skype: smolnar1
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