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NumPy - split. This function divides the array into subarrays along a specified axis. The function takes three parameters. numpy.split(ary, indices_or_sections, axis) Where, Sr.No.Parameter & Description1ary Input array to be…

In this chapter, we will discuss about NumPy - vstack. Variants of NumPy.stack function to stack so as to make a single array vertically. Example Of NumPy vstack import numpy…

In this chapter, we will discuss about NumPy - hstack. Variants of numpy.stack function to stack so as to make a single array horizontally. Example Of NumPy hstack import numpy…

In this chapter, we will discuss about NumPy - stack. This function joins the sequence of arrays along a new axis. This function has been added since NumPy version 1.10.0.…

NumPy - concatenate. This concatenation refers to joining. This function is used to join two or more arrays of the same shape along a specified axis. The function takes the…

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…