Colin,

I currently use Py3.4 and Numpy 1.9.1. However, I built a quick test conda environment with Python2.7 and Numpy 1.7.0, and I get the same:

############
Python 2.7.9 |Continuum Analytics, Inc.| (default, Dec 18 2014, 16:57:52) [MSC v
.1500 64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.

IPython 2.3.1 -- An enhanced Interactive Python.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://binstar.org
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import numpy as np

In [2]: np.__version__
Out[2]: '1.7.0'

In [3]: np.mat([4,'5',6])
Out[3]:
matrix([['4', '5', '6']],
       dtype='|S1')

In [4]: np.mat([4,'5',6], dtype=int)
Out[4]: matrix([[4, 5, 6]])
###############

As to your comment about coordinating with Statsmodels, you should see the links in the thread that Alan posted:
http://permalink.gmane.org/gmane.comp.python.numeric.general/56516
http://permalink.gmane.org/gmane.comp.python.numeric.general/56517
Josef's comments at the time seem to echo the issues the devs (and others) have with the matrix class. Maybe things have changed with Statsmodels.

I know I mentioned Sage and SageMathCloud before. I'll just point out that there are folks that use this for real research problems, not just as a pedagogical tool. They have a Matrix/vector/column_matrix class that do what you were expecting from your problems posted above. Indeed below is a (truncated) cut and past from a Sage Worksheet. (See http://www.sagemath.org/doc/tutorial/tour_linalg.html)
##########
In : Matrix([1,'2',3])
Error in lines 1-1
Traceback (most recent call last):
TypeError: unable to find a common ring for all elements

In : Matrix([[1,2,3],[4,5]])
ValueError: List of rows is not valid (rows are wrong types or lengths)

In : vector([1,2,3])
(1, 2, 3)

In : column_matrix([1,2,3])
[1]
[2]
[3]
##########

Large portions of the custom code and wrappers in Sage are written in Python. I don't think their Matrix object is a subclass of ndarray, so perhaps you could strip out the Matrix stuff from here to make a separate project with just the Matrix stuff, if you don't want to go through the Sage interface. 


On Wed, Feb 11, 2015 at 11:54 AM, cjw <cjw@ncf.ca> wrote:

On 11-Feb-15 10:21 AM, Ryan Nelson wrote:
So:

In [2]: np.mat([4,'5',6])
Out[2]:
matrix([['4', '5', '6']], dtype='<U11')

In [3]: np.mat([4,'5',6], dtype=int)
Out[3]: matrix([[4, 5, 6]])
Thanks Ryan,

We are not singing from the same hymn book.

Using PyScripter, I get:
*** Python 2.7.9 (default, Dec 10 2014, 12:28:03) [MSC v.1500 64 bit (AMD64)] on win32. ***
 >>> import numpy as np
>>> print('Numpy version: ', np.__version__)
('Numpy version: ', '1.9.0')
>>>
Could you say which version you are using please?

Colin W

On Tue, Feb 10, 2015 at 5:07 PM, cjw <cjw@ncf.ca> wrote:


It seems to be agreed that there are weaknesses in the existing Numpy
Matrix
Class.

Some problems are illustrated below.

I'll try to put some suggestions over the coming weeks and would appreciate
comments.

Colin W.

Test Script:

if __name__ == '__main__':
    a= mat([4, 5, 6])                   # Good
    print('a: ', a)
    b= mat([4, '5', 6])                 # Not the expected result
    print('b: ', b)
    c= mat([[4, 5, 6], [7, 8]])         # Wrongly accepted as rectangular
    print('c: ', c)
    d= mat([[1, 2, 3]])
    try:
        d[0, 1]= 'b'                    # Correctly flagged, not numeric
    except ValueError:
        print("d[0, 1]= 'b'             # Correctly flagged, not numeric",
'
ValueError')
    print('d: ', d)

Result:

*** Python 2.7.9 (default, Dec 10 2014, 12:28:03) [MSC v.1500 64 bit
(AMD64)] on win32. ***


            

          

        

        
a:  [[4 5 6]]
b:  [['4' '5' '6']]
c:  [[[4, 5, 6] [7, 8]]]
d[0, 1]= 'b'             # Correctly flagged, not numeric  ValueError
d:  [[1 2 3]]


        

          

            

              

            

          

        

        



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