NumPy Tutorial

Python NumPy Tutorial numpy.empty() in Python numpy.empty_like() in Python numpy.eye() in Python numpy.identity() in Python numpy.ones() in Python numpy.ones_like() in Python numpy.zeros in Python numpy.zeros_like() in Python numpy.full() in Python numpy.full_like() in Python numpy.asarray() in Python numpy.frombuffer() in Python numpy.fromiter() in Python numpy.fromstring () in Python numpy.asanyarray() in Python with Example numpy.ascontiguousarray() in Python with Example Numpy.asmatrix() in Python with Example Numpy.copy() in Python with Example numpy.loadtxt() Python numpy.arrange() in Python numpy.linspace() in Python numpy.logspace() in Python numpy.geomspace() in Python numpy.meshgrid() in Python numpy.diag() in Python numpy.diagflat() in Python numpy.tri() in Python numpy.tril() in Python numpy.copyto() in Python numpy.reshape() in Python numpy.ravel() in Python numpy.ndarray.flat() in Python numpy.ndarray.flatten() in Python numpy.rollaxis() in Python numpy.swapaxes() in Python numpy.ndarray.T in Python numpy.transpose() in Python numpy.atleast_1d() in Python numpy.atleast_2d() in Python numpy.atleast_3d() in Python numpy.broadcast_to() in Python numpy.broadcast_arrays() in Python numpy.expand_dims() in Python numpy.squeeze() in Python numpy.asarray_chkfinite() in Python numpy.asscalar() in Python numpy.concatenate() in Python numpy.stack() in Python numpy.column_stack() in Python numpy.dstack() in Python numpy.hstack() in Python numpy.vstack() in Python numpy.split() in Python numpy.tile() in Python numpy.repeat() in Python numpy.delete() in Python numpy.append() in Python numpy.resize() in Python numpy.trim_zeros() in Python numpy.unique() in Python numpy.flip() in Python NumPy vs SciPy

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Numpy Attributes

Numpy.asmatrix() in Python with Example

Numpy.asmatrix() in Python The asmatrix() function returns the specified input as a matrix. It does not make a copy if the input is already a matrix or an ndarray. Syntax

numpy.asmatrix(data, dtype=None)
Parameter data  :This parameter represents thearray-like input data dtype :It depicts the data type of returned array  Return This function interprets the input as a matrix.  Example 1
# Python Programming giving an example for 
# numpy.asanyarray() function
importnumpy as numpy
# array-like input
mat_arr = numpy.matrix([[5, 6, 7], [4, 6]])
print("Via array-like input : \n", mat_arr)
asmat_arr = numpy.asmatrix(mat_arr)
mat_arr[0, 1] = 10
print("\nAsymmetric matrix : \n", asmat_arr)
Output
Via array-like input :
 [[[5, 6, 7] [4, 6]]]
Asymmetric matrix :
 [[[5, 6, 7] 10]]