Python | Pandas Index.dropna()

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas Index.dropna() function return Index without NA/NaN values. All the missing values are removed and a new object is returned which does not have any NaN values present in it.

Syntax: Index.dropna(how=’any’)

Parameters :
how : {‘any’, ‘all’}, default ‘any’
If the Index is a MultiIndex, drop the value when any or all levels are NaN.

Returns : valid : Index

Example #1: Use Index.dropna() function to remove all missing values from the given Index containing datetime data.

Output :

Let’s drop all the NaN values from the Index.

Output :

As we can see in the output, the Index.dropna() function has removed all the missing values.
 
Example #2: Use Index.dropna() function to delete all the missing values in the Index. Index contains string type data.

Output :

Let’s drop all the missing values.

Output :

As we can see in the output all missing values of months has been removed.