numpy.asanyarray() in Python with Example
numpy.asanyarray() in Python
The asanyarray() function of Python numpy class converts the input to an ndarray, but pass ndarray subclasses through.
Syntax
numpy.asanyarray(a, dtype=None, order=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. order : This parameter states whether to use row-major (C-style) or column-major (Fortran-style) memory representation. By defaults it takes ‘C-style’. Return This function returns an array interpretation of the parameter ‘arr’. If ‘arr’ is same as ndarray or is a subclass of ndarray, it is returnes the same value. Example 1
# Python Programming giving an example for
# numpy.asanyarray() function
importnumpy as numpy
inp_list = [2, 4, 6, 8, 10]
print ("Input list : ", inp_list)
arr = numpy.asanyarray(inp_list)
print ("output array from input list : ", arr)
Output
Input list : [2, 4, 6, 8, 10] output array from input list : [ 2 4 6 8 10]Example 2
# Python Programming giving an example for
# numpy.asanyarray() function
importnumpy as numpy
tuple_list = ([4, 8, 6], [1, 2, 3])
print ("Input tuple : ", tuple_list)
arr = numpy.asanyarray(tuple_list)
print ("output array from input tuple : ", arr)
Output
Input tuple : ([4, 8, 6], [1, 2, 3]) output array from input tuple : [[4 8 6] [1 2 3]]