Category: numpy

Removing dimensions with size 1 from arrays using Python NumPy’s np.squeeze

np.squeeze is a versatile function that allows you to remove dimensions with size 1 from arrays, resulting in a cleaner…

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Rearranging of array dimensions using Python NumPy’s np.transpose

One essential array manipulation function is np.transpose, which allows for the rearrangement of array dimensions to better suit specific data…

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Generating arrays with logarithmically spaced values : Python NumPy’s np.logspace

The functions in NumPy that’s particularly useful for generating arrays with logarithmically spaced values is np.logspace. What is np.logspace? np.logspace…

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Creating an array filled with ones in Python NumPy : np.ones

NumPy’s np.ones is a function used to create a NumPy array filled with ones. Similar to np.zeros, this function is…

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Creating an array filled with zeros in Python NumPy : np.zeros

NumPy’s np.zeros is a function used to create a NumPy array filled with zeros. This function is particularly useful when…

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NumPy Arrays : Understanding and using NumPy arrays with real-world examples

NumPy, short for “Numerical Python,” is a fundamental library for scientific computing in Python. One of its core features is…

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Getting total number of elements in a NumPy array using Python NumPy’s np.ndarray.size

In NumPy, np.ndarray.size is an attribute that provides information about the total number of elements in a NumPy array. It…

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Dividing an array vertically along rows, creating multiple smaller arrays using NumPy’s np.vsplit

np.vsplit is one such function that allows you to divide an array vertically along rows, creating multiple smaller arrays. It…

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