Python

numpy.random.randint function is used to get random integers from low to high values. The low value is included while the high value is excluded in the calculations. The output values are taken from the discrete uniform distribution of the range values. random.randint(low, high=None, size=None, dtype=int) Purpose: The numpy random randint function used for creating a …

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The np.random.uniform() function is used to create an array with random samples from a uniform probability distribution of given low and high values. random.uniform(low=0.0, high=1.0, size=None) Purpose: The numpy random uniform function used for creating a numpy array with random float values from low to high interval. Parameteres: Low: float or array-like of floats,optional: Lowest …

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The np.sort() function is used to sort the array along a specified axis. Numpy.sort (a, axis=- 1, kind=None, order=None) Purpose: This function is used for sorting the array. Parameters: arr:a:array_like array to be sorted. axis: None or int,optional Axis on which we perform the arithmetic mean if specified. otherwise, the arr will be flattened. kind: …

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numpy.median function is used to calculate the median of an array along a specific axis or multiple axes. Median is defined as the middle value separating the higher half from the lower half of a data sample in other words median is a value in the middle when you sort the values. In this post, …

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How to reshape a numpy array? The numpy.reshape() function is used to reshape a numpy array without changing the data in the array. It is a very common practice to reshape arrays to make them compatible for further calculations.