NumPy

In this chapter, we will discuss about NumPy char multiply. This function performs multiple concatenation. import numpy as np print np.char.multiply('Hello ',3) Its output would be as follows − Hello…

The following functions are used to perform vectorized string operations for arrays of dtype numpy. string_ or NumPy. unicode_. They are based on the standard string functions in Python's built-in…

In this chapter, we will discuss about NumPy Binary Operators. Following are the functions for bitwise operations available in the NumPy package. Sr.No.Operation & Description1Bitwise_and Computes bitwise AND operation of…

In this chapter, we will discuss about NumPy's right shift. The numpy.right_shift() function shift the bits in the binary representation of an array element to the right by specified positions, and an…

In this chapter, we will discuss about NumPy left-shift. The numpy.left_shift() function shifts the bits in the binary representation of an array element to the left by specified positions. An equal number…

In this chapter, we will discuss about NumPy invert. This function computes the bitwise NOT result on integers in the input array. For signed integers, two's complement is returned. Example…

In this chapter, we will discuss about NumPy bitwise or. The bitwise OR operation on the corresponding bits of binary representations of integers in input arrays is computed by the np.bitwise_or() function.…

In this chapter, we will discuss about NumPy bitwise and. The bitwise AND operation on the corresponding bits of binary representations of integers in input arrays are computed by np.bitwise_and()…

In this chapter, we will discuss about NumPy unique. This function returns an array of unique elements in the input array. The function can be able to return a tuple…

In this chapter, we will discuss about NumPy delete. This function returns a new array with the specified subarray deleted from the input array. As in case of insert() function,…