NumPy

In this chapter, we will discuss about NumPy - squeeze. This function removes the one-dimensional entry from the shape of the given array. Two parameters are required for this function.…

NumPy - expand_dims. This function expands the array by inserting a new axis at the specified position. Two parameters are required by this function. numpy.expand_dims(arr, axis) Where, Sr.No.Parameter & Description1arrInput…

In this chapter, we will discuss about NumPy - broadcast_to. This function broadcasts an array to a new shape. It returns a read-only view on the original array. It is…

In this chapter, we will discuss about NumPy - broadcast. As seen earlier, NumPy has in-built support for broadcasting. This function mimics the broadcasting mechanism. It returns an object that…

In this chapter, we will discuss about NumPy - swap axes. This function interchanges the two axes of an array. For NumPy versions after 1.10, a view of the swapped…

In this chapter, we will discuss about NumPy - roll axis. This function rolls the specified axis backward until it lies in a specified position. The function takes three parameters.…

In this chapter, we will discuss about NumPy - ndarray.T. This function belongs to the ndarray class. It behaves similar to numpy.transpose. Example Of NumPy ndarray.T import numpy as np a = np.arange(12).reshape(3,4)…

NumPy - transpose. This function permutes the dimension of the given array. It returns a view wherever possible. The function takes the following parameters. numpy.transpose(arr, axes) Where, Sr.No.Parameter & Description1arr…

In this chapter, we will discuss about NumPy ravel. This function returns a flattened one-dimensional array. A copy is made only if needed. The returned array will have the same…

In this chapter, we will discuss about NumPy - ndarray. flatten. This function returns a copy of an array collapsed into one dimension. The function takes the following parameters. ndarray.flatten(order)…