Is Python Capable Of Doing Matlab Equivalent Matrix Operations?

I have implemented codes in MATLAB that operates on 216x216 matrices that contain numeric data and sometime strings. The operations that I do on these matrices are mostly like filt

Solution 1:

Start with this page comparing NumPy and Matlab.

Here are some examples regarding your post:

In [5]: import scipy

In [6]: X = scipy.randn(3,3)

In [7]: X
Out[7]: 
array([[-1.16525755,  0.04875437, -0.91006082],
       [ 0.00703527,  0.21585977,  0.75102583],
       [ 1.12739755,  1.12907917, -2.02611163]])

In [8]: X>0
Out[8]: 
array([[False,  True, False],
       [ True,  True,  True],
       [ True,  True, False]], dtype=bool)

In [9]: scipy.where(X>0)
Out[9]: (array([0, 1, 1, 1, 2, 2]), array([1, 0, 1, 2, 0, 1]))

In [10]: X[X>0] = 99

In [11]: X
Out[11]: 
array([[ -1.16525755,  99.        ,  -0.91006082],
       [ 99.        ,  99.        ,  99.        ],
       [ 99.        ,  99.        ,  -2.02611163]])

In [12]: Y = scipy.randn(3,2)

In [13]: scipy.dot(X, Y)
Out[13]: 
array([[-124.41803568,  118.42995937],
       [-368.08354405,  199.67131528],
       [-190.13730231,  161.54715769]])

(Shameless plug: a comparison I once made between Python and Matlab.)

Solution 2:

You may want to take a look at NumPy / SciPy, they may help you do what you want. Plus there are a sizable number of users which will make it easier to get help when needed. General Intro to both libraries here