NumPy - String Functions

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 library.

S.No	Function & Description
1.	add() Returns element-wise string concatenation for two arrays of str or Unicode
2.	multiply() Returns the string with multiple concatenation, element-wise
3.	center() Returns a copy of the given string with elements centered in a string of specified length
4.	capitalize() Returns a copy of the string with only the first character capitalized
5.	title() Returns the element-wise title cased version of the string or unicode
6.	lower() Returns an array with the elements converted to lowercase
7.	upper() Returns an array with the elements converted to uppercase
8.	split() Returns a list of the words in the string, using separatordelimiter
9.	splitlines() Returns a list of the lines in the element, breaking at the line boundaries
10.	strip() Returns a copy with the leading and trailing characters removed
11.	join() Returns a string which is the concatenation of the strings in the sequence
12.	replace() Returns a copy of the string with all occurrences of substring replaced by the new string
13.	decode() Calls str.decode element-wise
14.	encode() Calls str.encode element-wise

These functions are defined in character array class (numpy.char). The older Numarray package contained chararray class. The above functions in numpy.char class are useful in performing vectorized string operations.