How to get the number of dimensions of a matrix using NumPy in Python? Last Updated : 30 Sep, 2022 Summarize Comments Improve Suggest changes Share Like Article Like Report In this article, we will discuss how to get the number of dimensions of a matrix using NumPy. It can be found using the ndim parameter of the ndarray() method. Syntax: no_of_dimensions = numpy.ndarray.ndim Approach: Create an n-dimensional matrix using the NumPy package.Use ndim attribute available with the NumPy array as numpy_array_name.ndim to get the number of dimensions.Alternatively, we can use the shape attribute to get the size of each dimension and then use len() function for the number of dimensions.Use numpy.array() function to convert a list to a NumPy array and use one of the above two ways to get the number of dimensions.Get the Number of 1-Dimensions of a Matrix Creating a 1D array using np.arrange and printing the dimension of an array. Python3 import numpy as np # create numpy arrays # 1-d numpy array _1darr = np.arange(4) print(_1darr) # printing the 1-dimensions numpy array print("Dimensions in _1darr are: ", _1darr.ndim) Output: [0 1 2 3] Dimensions in _1darr are: 1vGet the Number of 2-Dimensions of a Matrix Creating a 2D array using np.arrange and printing the dimension of an array. Python3 import numpy as np x = np.arange(12).reshape((3, 4)) print("Matrix: \n", x) print("Dim: ", x.ndim) Output: Matrix: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] Dim: 2Get the Number of 3-Dimensions of a Matrix Creating a 3D array using np.arrange and np.reshape. After that, we are printing the dimension of an array using shape and len(). Python3 import numpy as np # 3-d numpy array _3darr = np.arange(18).reshape((3, 2, 3)) # printing the dimensions of each numpy array print("Dimensions in _3darr are: ", _3darr.ndim) print(_3darr) # numpy_arr.shape is the number of elements in # each dimension numpy_arr.shape returns a tuple # len() of the returned tuple is also gives number # of dimensions print("Dimensions in _3darr are: ", len(_3darr.shape)) Output: Dimensions in _3darr are: 3 [[[ 0 1 2] [ 3 4 5]] [[ 6 7 8] [ 9 10 11]] [[12 13 14] [15 16 17]]] Dimensions in _3darr are: 3Convert a list to a Numpy Array and Get a Dimensions of a Matrix Creating a list of 1D and 2D, using np.arrange we are converting it into a np.array and printing the dimension of an array. Python3 import numpy as np # Use numpy.array() function to convert a list to # numpy array __1darr = np.array([5, 4, 1, 3, 2]) __2darr = np.array([[5, 4],[1,2], [4,5]]) print("Dimensions in __1darr are: ", __1darr.ndim) print("Dimensions in __2darr are: ", __2darr.ndim) Output: Dimensions in __1darr are: 1 Dimensions in __2darr are: 2 Comment More infoAdvertise with us Next Article How to get the number of dimensions of a matrix using NumPy in Python? G girish_thatte Follow Improve Article Tags : Technical Scripter Python Technical Scripter 2020 Python-numpy Python numpy-ndarray +1 More Practice Tags : python Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. Itâs simple to use, packed with features and supported by a wide range of libraries and frameworks. Its clean syntax makes it beginner-friendly. 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