Pandas replace

(3) Replace multiple values with multiple new values for an individual DataFrame column: df[‘column name’] = df[‘column name’].

Steps to replace NaN values:

You can replace a string in the pandas DataFrame column by using replace(), str. replace() with lambda functions .

In order to replace a value in Pandas DataFrame, use the replace() method with the column the from and to values . Below example replace Spark with PySpark value on the Course column. Notice that all the Spark values are replaced with the Pyspark values under the first column.

Pandas replace() is a very rich function that is used to replace a string, regex, dictionary, list, and series from the DataFrame. The values of the DataFrame can be replaced with other values dynamically. It is capable of working with the Python regex(regular expression). It differs from updating with .

The Python replace() method is used to find and replace characters in a string. It requires a substring to be passed as an argument; the function finds and replaces it. The replace() method is commonly used in data cleaning.

Python | Pandas Series.