Replace the value in the dataframe using regex and pandas | kandi use case

Pandas Library is used to perform complex manipulations of data effectively and efficiently. Inside pandas, we are using data in the form of a Data Frame. A regular expression (Regex) is a sequence of information. It is defined as to search pattern. It is also described as a regex that accepts a certain set of strings and rejects the rest. To add, remove, isolate, and manipulate all kinds of text and data, Regex can be used. It is also used as a simple text editor command. We use regular expressions when you want to search and replace specific text patterns.

It is used for pattern matching, parsing, filtering of results, and so on. Once we learn the regex syntax, we can use it for almost any language. We can also use Pandas replace() to replace a string, Regex, dictionary, list, and series from the Data Frame. Using this method, the values of the Data Frame can be replaced with other values. It is capable of working with Python regex(regular expression). It differs from .loc or .iloc. It requires you to specify a location where you want to update with some value.