Author: k A

In this chapter, we will discuss about NumPy char upper.This function calls str.upper function on each element in an array to return the uppercase array elements. import numpy as np print np.char.upper('hello')…

In this chapter, we will discuss about NumPy char lower . This function returns an array with elements converted to lowercase. It calls str.lower for each element. import numpy as np print…

In this chapter, we will discuss about NumPy char title . This function returns a title cased version of the input string with the first letter of each word capitalized.…

In this chapter, we will discuss about NumPy char capitalize. This function returns the copy of the string with the first letter capitalized. import numpy as np print np.char.capitalize('hello world')…

In this chapter, we will discuss about NumPy char center.This function returns an array of the required width so that the input string is centered and padded on the left…

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…