numpy.ascontiguousarray() in Python The ascontiguousarray() returns a contiguous array (ndim>= 1) in memory (C order). Syntax
numpy.ascontiguousarray(a, dtype=None)
Parameter arr : This parameter includes the input data, in any form that can be converted to an array. This includes lists, tuples, lists of tuples, tuples of tuples, tuples of lists etc. dtype: It is an optional parameter. It depicts the data type of returned array, and by default, it is a float. Return This function returns a contiguous array (ndarray) of same shape and content as ‘arr’, with type specified in ‘dtype’. Example 1
# Python Programming giving an example for
# numpy.asanyarray() function
importnumpy as numpy
inp_list = [500, 1000, 1500, 2000]
print ("Input list : ", inp_list)
arr = numpy.ascontiguousarray(inp_list, dtype = numpy.float32)
print ("output array from input list : ", arr)
Output
Input list : [500, 1000, 1500, 2000]
output array from input list : [ 500. 1000. 1500. 2000.]
Example 2
# Python Programming giving an example for
# numpy.asanyarray() function
importnumpy as numpy
inp_tuple = ([1, 6, 0], [8, 2, 46])
print ("Input touple : ", inp_tuple)
arr = numpy.ascontiguousarray(inp_tuple, dtype = numpy.int32)
print ("output array from input touple : ", arr)
Output
Input touple : ([1, 6, 0], [8, 2, 46])
output array from input touple : [[ 1 6 0]
[ 8 2 46]]
