NumPy - String Functions - Adglob Infosystem Pvt Ltd

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.

Sr.No.	Function & Description
1	Add() Returns element-wise string concatenation for two arrays of str or Unicode
2	Multiply() Returns the string with multiple concatenations, 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 a separator delimiter
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 the character array class (numpy. char). The older Numarray package contained a char array class. The above functions in numpy.char class is useful in performing vectorized string operations.

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NumPy – String Functions

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