numpy.ix_() function | Python Last Updated : 22 Apr, 2020 Comments Improve Suggest changes Like Article Like Report numpy.ix_() function construct an open mesh from multiple sequences. This function takes N 1-D sequences and returns N outputs with N dimensions each, such that the shape is 1 in all but one dimension and the dimension with the non-unit shape value cycles through all N dimensions. Syntax : numpy.ix_(args) Parameters : args : [1-D sequences] Each sequence should be of integer or boolean type. Return : [tuple of ndarrays] N arrays with N dimensions each, with N the number of input sequences. Together these arrays form an open mesh. Code #1 : Python3 # Python program explaining # numpy.ix_() function # importing numpy as geek import numpy as geek gfg = geek.ix_([0, 1], [2, 4]) print (gfg) Output : (array([[0], [1]]), array([[2, 4]])) Code #2 : Python3 # Python program explaining # numpy.ix_() function # importing numpy as geek import numpy as geek arr = geek.arange(10).reshape(2, 5) print("Initial array : \n", arr) ixgrid = geek.ix_([0, 1], [2, 4]) print("New array : \n", arr[ixgrid]) Output : Initial array : [[0 1 2 3 4] [5 6 7 8 9]] New array : [[2 4] [7 9]] Comment More infoAdvertise with us Next Article numpy.iinfo() function â Python S sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy Python numpy-arrayManipulation python Practice Tags : Machine Learningpython Similar Reads numpy.i0() function | Python numpy.i0() function is the modified Bessel function of the first kind, order 0. it's usually denoted by I0. Syntax : numpy.i0(x) Parameters : x : [array_like, dtype float or complex] Argument of the Bessel function. Return : [ndarray, shape = x.shape, dtype = x.dtype] The modified Bessel function ev 1 min read numpy.imag() function - Python numpy.imag() function return the imaginary part of the complex argument. Syntax : numpy.imag(arr) Parameters : arr : [array_like] Input array. Return : [ndarray or scalar] The imaginary component of the complex argument. If val is real, the type of val is used for the output. If val has complex elem 1 min read numpy.iinfo() function â Python numpy.iinfo() function shows machine limits for integer types. Syntax : numpy.iinfo(dtype) Parameters : dtype : [integer type, dtype, or instance] The kind of integer data type to get information about. Return : Machine limits for integer types. Code #1 : Python3 # Python program explaining # numpy. 1 min read numpy.matrix.A() function - Python numpy.matrix.A() function return self as an ndarray object. Syntax : numpy.matrix.A() Parameters : None Return : [ndarray] Return self as an ndarray. Code #1 : Python3 # Python program explaining # numpy.matrix.A() function # importing numpy as geek import numpy as geek mat = geek.matrix(geek.arange 1 min read numpy.interp() function - Python numpy.interp() function returns the one-dimensional piecewise linear interpolant to a function with given discrete data points (xp, fp), evaluated at x. Syntax : numpy.interp(x, xp, fp, left = None, right = None, period = None) Parameters : x : [array_like] The x-coordinates at which to evaluate the 2 min read numpy.info() function in Python In Numpy we can get all the information about the function, class, or module like what will the parameter and what will be the type of the return value with the help of numpy.info() function. This function returns the help information for a function, class, or module. Syntax: numpy.info(numpy.info(o 1 min read Like