https://numpy.org › doc › stable › reference › generated › numpy.ndarray.ndim.html

Learn how to use the ndim attribute of the ndarray class in NumPy, a Python library for scientific computing. See examples of how to access the number of dimensions of an array object.

https://stackoverflow.com › questions › 27979443

This question already has an answer here: working of ndim in numpy (1 answer) Closed 9 years ago. Consider: import numpy as np. >>> a=np.array([1, 2, 3, 4]) >>> a. array([1, 2, 3, 4]) >>> a.ndim.

https://www.geeksforgeeks.org › numpy-ndarray-ndim-method-python

The ndarray.tolist() method converts a NumPy array into a nested Python list. It returns the array as an a.ndim-levels deep nested list of Python scalars. Data items are converted to the nearest compatible built-in Python type. Example C/C++ Code import numpy as np gfg = np.array([1, 2, 3, 4, 5]) print(gfg.tolist()) Output[1, 2, 3, 4 ...

https://www.tresfacile.net › la-methode-numpy-ndim-python

La méthode numpy.ndim() est une fonction fournie par la bibliothèque NumPy en Python. Elle est utilisée pour déterminer le nombre de dimensions d'un tableau (ou tableau multidimensionnel ). En d'autres termes, elle renvoie le nombre d'axes ou de dimensions présentes dans le tableau.

https://numpy.org › doc › stable › › reference › generated › numpy.ndim.html

numpy.ndim# numpy. ndim (a) [source] # Return the number of dimensions of an array. Parameters: a array_like. Input array. If it is not already an ndarray, a conversion is attempted. Returns: number_of_dimensions int. The number of dimensions in a. Scalars are zero-dimensional.

https://apprendrepython.com › numpy-obtenir-le-nombre-de-dimensions-la-forme-et-la...

Vous pouvez obtenir le nombre de dimensions, la forme (longueur de chaque dimension) et la taille (nombre de tous les éléments) du tableau NumPy avec les attributs ndim, shape et size de numpy.ndarray.

https://note.nkmk.me › en › python-numpy-ndarray-ndim-shape-size

Learn how to use ndim, shape, size, and len() attributes to access the dimensions, shape, and size of a NumPy array (numpy.ndarray). See examples of one-, two-, and three-dimensional arrays and how to reshape them.

https://numpy.org › doc › 1.20 › reference › generated › numpy.ndarray.ndim.html

numpy.ndarray.ndim¶ attribute. ndarray.ndim¶ Number of array dimensions. Examples >>>

https://docs.scipy.org › doc › numpy-1.13.0 › reference › generated › numpy.ndarray.ndim.html

ndarray. ndim ¶. Number of array dimensions. Examples. >>> x = np.array([1, 2, 3]) >>> x.ndim 1 >>> y = np.zeros((2, 3, 4)) >>> y.ndim 3.

https://numpy.org › doc › stable › reference › arrays.ndarray.html

As with other container objects in Python, the contents of an ndarray can be accessed and modified by indexing or slicing the array (using, for example, N integers), and via the methods and attributes of the ndarray.