numpy - csv to matrix in scipy -

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i can't simple matrix operations work on data, life of me haven't been able figure out i'm doing incorrectly: 

data = np.genfromtxt(dataset1, names=true, delimiter=",", dtype=float)  x = np.matrix(data) print(x.t*x)  traceback (most recent call last):   file "genfromtxt.py", line 11, in <module>     print(x.t*x)   file "/usr/lib/pymodules/python2.6/numpy/matrixlib/defmatrix.py", line 319, in __mul__     return n.dot(self, asmatrix(other)) typeerror: can't multiply sequence non-int of type 'tuple'

print(data) gives:

[ (3.0, 32.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 9.0, 0.0, 5.5606799999999996, 9.0)  (4.0, 43.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 9.0, 0.0, 5.7203099999999996, 16.0)  (5.0, 40.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 9.0, 0.0, 5.9964500000000003, 25.0)  ...,  (5.0, 50.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 12.0, 0.0, 6.2146100000000004, 25.0)  (6.0, 50.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 12.0, 0.0, 6.2915700000000001, 36.0)  (7.0, 50.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 12.0, 0.0, 6.3716100000000004, 49.0)]

edit:

further, code

reader = csv.reader(open(dataset1, 'r')) header = reader.next() x = np.array([[float(col) col in row] row in reader])  print(x.shape) print(x.t.shape) print(x * x.t)

gives output: 

(4165, 13) (13, 4165) traceback (most recent call last):   file "genfromtxt.py", line 17, in <module>     print(x * x.t) valueerror: shape mismatch: objects cannot broadcast single shape >>>

the problem second example seems operator * performs element-wise multilpication numpy arrays. presumably perform matrix multiplication. there 2 options this:

  1. use numpy.matrix instead of numpy.array -- multiplication matrix multiplication , powers integer exponents work expected.

  2. use numpy.dot(a, b) instead of a*b -- perform matrix multiplication both arrays , matrices.


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