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NumPy
numpy.org › doc › 2.3 › reference › generated › numpy.empty.html
numpy.empty — NumPy v2.3 Manual
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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This may be due to an incorrect BASE_URL configuration. See the MyST Documentation for reference · This set of tutorials and educational materials is being developed in the numpy-tutorials repository, and is not a part of the NumPy source tree. The goal of this repository is to provide ...
numpy.zeros
Return a new array of given shape and type, filled with zeros · Shape of the new array, e.g., (2, 3) or 2
numpy.arange
Return evenly spaced values within a given interval · arange can be called with a varying number of positional arguments:
numpy.linspace
Return evenly spaced numbers over a specified interval · Returns num evenly spaced samples, calculated over the interval [start, stop]
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NumPy
numpy.org › doc › 1.25 › reference › generated › numpy.empty.html
numpy.empty — NumPy v1.25 Manual
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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NumPy
numpy.org › doc › 2.2 › reference › generated › numpy.empty.html
numpy.empty — NumPy v2.2 Manual
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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NumPy
numpy.org › doc › stable › reference › generated › numpy.empty.html
numpy.empty — NumPy v2.5 Manual
>>> np.empty([2, 2], dtype=np.int_) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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NumPy
numpy.org › doc › 2.1 › reference › generated › numpy.empty.html
numpy.empty — NumPy v2.1 Manual
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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w3resource
w3resource.com › numpy › array-creation › empty.php
NumPy: numpy.empty() function - w3resource
The numpy.empty() function is used to create a new array of given shape and type, without initializing entries.
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NumPy
numpy.org › devdocs › reference › generated › numpy.empty.html
numpy.empty — NumPy v2.6.dev0 Manual
>>> np.empty([2, 2], dtype=np.int_) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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NumPy
numpy.org › doc › 1.24 › reference › generated › numpy.empty.html
numpy.empty — NumPy v1.24 Manual
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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NumPy
numpy.org › doc › 2.4 › reference › generated › numpy.empty.html
numpy.empty — NumPy v2.4 Manual
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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GeeksforGeeks
geeksforgeeks.org › python › numpy-empty-python
numpy.empty() in Python - GeeksforGeeks
November 29, 2018 - numpy.empty(shape, dtype = float, order = 'C') : Return a new array of given shape and type, with random values.
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Note.nkmk.me
note.nkmk.me › home › python › numpy
NumPy: Create an empty array (np.empty, np.empty_like) | note.nkmk.me
January 22, 2024 - This article explains how to create an empty array (ndarray) in NumPy. There are two methods available: np.empty(), which allows specifying any shape and data type (dtype), and np.empty_like(), which ...
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NumPy
numpy.org › doc › 2.0 › reference › generated › numpy.empty.html
numpy.empty — NumPy v2.0 Manual
>>> np.empty([2, 2], dtype=int) array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #uninitialized
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SciPy
docs.scipy.org › doc › numpy-1.6.0 › reference › generated › numpy.empty.html
numpy.empty — NumPy v1.6 Manual (DRAFT)
May 15, 2011 - numpy.empty(shape, dtype=float, order='C')¶ · Return a new array of given shape and type, without initializing entries. See also · empty_like, zeros, ones · Notes · empty, unlike zeros, does not set the array values to zero, and may therefore be marginally faster.
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SciPy
docs.scipy.org › doc › numpy-1.13.0 › reference › generated › numpy.empty.html
numpy.empty — NumPy v1.13 Manual
numpy.empty(shape, dtype=float, order='C')¶ · Return a new array of given shape and type, without initializing entries. See also · empty_like, zeros, ones · Notes · empty, unlike zeros, does not set the array values to zero, and may therefore be marginally faster.
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Python Guides
pythonguides.com › python-numpy-empty-array
Create An Empty Array Using NumPy In Python
May 7, 2025 - An empty array raises too, and the message names the fix directly: Use array.size > 0. There is more on this in checking whether a NumPy array is empty.
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Programiz
programiz.com › python-programming › numpy › methods › empty
NumPy empty() | Programiz
August 30, 2023 - The empty() method creates a new array of given shape and type, without initializing entries.
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AskPython
askpython.com › python-modules › numpy › numpy-empty-and-empty_like
NumPy empty and empty_like - AskPython
October 4, 2026 - NumPy’s empty functions allocate an array without setting its numeric entries to useful values.
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GeeksforGeeks
geeksforgeeks.org › python › how-to-create-an-empty-matrix-with-numpy-in-python
How to create an empty matrix with NumPy in Python? - GeeksforGeeks
July 23, 2025 - numpy.empty() function creates an array without initializing its values. This means the contents of the matrix will be arbitrary and depend on the memory state at the time of creation.
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SciPy
docs.scipy.org › doc › numpy-1.9.3 › reference › generated › numpy.empty.html
numpy.empty — NumPy v1.9 Manual
numpy.empty(shape, dtype=float, order='C')¶ · Return a new array of given shape and type, without initializing entries. See also · empty_like, zeros, ones · Notes · empty, unlike zeros, does not set the array values to zero, and may therefore be marginally faster.