Author name: Sirikonda

How NumPy ndarray.flatten() function in Python can be used?

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NumPy ndarray.flatten() function in Python The ndarray.flatten() function in NumPy is used to return a one-dimensional copy of the array. This method is useful when you want to convert a multi-dimensional array into a single dimension. Syntax: ndarray.flatten(order=’C’) Parameters order (optional): It specifies the order in which the array elements should be read. The default …

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How to Create Array of zeros using NumPy in Python?

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Creating Array of zeros using NumPy in Python Creating an array of zeros using NumPy in Python can be done with the np.zeros() function. This function is very useful when you need an array initialized with zeros for tasks like array operations, matrix manipulations, and initializations for algorithms. SYNTAX: numpy.zeros(shape, dtype=float, order=’C’) Parameters shape: An …

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How to Reshape NumPy Array in Python

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Reshape a NumPy array in Python using the reshape() function. This function allows you to change the shape (dimensions) of the array while keeping the same data. Here’s a basic example: Code: import numpy as np #Here we are Creating a NumPy array arr = np.array([[1, 2, 3], [4, 5, 6]]) # Reshape the array …

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