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• numpy.matrix.A

  ...NumPy reference Array objects Standard array subclasses numpy.matrix.A...

• numpy.matrix.A1

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• numpy.matrix.all

  ...NumPy reference Array objects Standard array subclasses numpy.matrix numpy.matrix.all...

• numpy.matrix.any

  ...NumPy reference Array objects Standard array subclasses numpy.matrix numpy.matrix.any...

• numpy.matrix.argmax

  ...NumPy reference Array objects Standard array subclasses numpy.matrix numpy.matrix.argmax...

• numpy.matrix.argmin

  ...NumPy reference Array objects Standard array subclasses numpy.matrix numpy.matrix.argmin...

• numpy.matrix.astype

  ...NumPy reference Array objects Standard array subclasses numpy.matrix numpy.matrix.astype...

• numpy.matrix.argsort

  ...NumPy reference Array objects Standard array subclasses numpy.matrix numpy.matrix.argsort...

• numpy.matrix.argpartition

  ...NumPy reference Array objects Standard array subclasses numpy.matrix numpy.matrix.argpartition...

• numpy.matlib (Python module, in Matrix library (numpy.matlib))
• numpy.matrix (Python class, in numpy.matrix)
• numpy.matrix.A (Python property, in numpy.matrix.A)
• Array creation

  ...ag, and numpy.vander define properties of special matrices represented as 2D arrays. np.eye(n, m) defines a 2D identity matrix. The elements where i=j (row index and column index are equal) are 1 and the rest are 0, as such: >>> import nump...

• Array creation routines

  ...subclasses through. ascontiguousarray(a[, dtype, like]) Return a contiguous array (ndim >= 1) in memory (C order). asmatrix(data[, dtype]) Interpret the input as a matrix. astype(x, dtype, /, *[, copy, device]) Copies an array to a spec...

• Array iterator API

  ...dim*itemsize for itemsize, then add another dimension to the end with size ndim and stride itemsize. To do the Hessian matrix, you do the same thing but add two dimensions, or take advantage of the symmetry and pack it into 1 dimension wit...

• Constants of the numpy.ma module

  ...the masked array. If the underlying data is a subclass of numpy.ndarray, it is returned as such. >>> x = np.ma.array(np.matrix([[1, 2], [3, 4]]), mask=[[0, 1], [1, 0]]) >>> x.data matrix([[1, 2], [3, 4]]) The type of the data can...

• How to contribute to the NumPy documentation

  ...alize index as indices rather than indexes, following the precedent of numpy.indices. For consistency we also pluralize matrix as matrices. Grammatical issues inadequately addressed by the NumPy or Google rules are decided by the section...

• Internal organization of NumPy arrays

  ...entions. The first thing to understand is that there are two conflicting conventions for indexing 2-dimensional arrays. Matrix notation uses the first index to indicate which row is being selected and the second index to indicate which colu...

• Linear algebra (numpy.linalg)
• Matrix library (numpy.matlib)
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