Python | Pandas Index.is_monotonic

Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects.

Pandas Index.is_monotonic attribute is an alias for is_monotonic_increasing. It return True if the underlying data in the given Index object is monotonically increasing else it return False.

Syntax: Index.is_monotonic

Parameter : None

Returns : boolean

Example #1: Use Index.is_monotonic attribute to find out if the underlying data in the given Index object is monotonically increasing or not.

Output :

Int64Index([100, 200, 420, 888, 924], dtype='int64')

Now we will use Index.is_monotonic attribute to find out if the underlying data in the given Index object is monotonically increasing or not.

Output :

True

As we can see in the output, the Index.is_monotonic attribute has returned True indicating that the underlying data of the given Index object is monotonically increasing.

Example #2 : Use Index.is_monotonic attribute to find out if the underlying data in the given Index object is monotonically increasing or not.

Output :

Index(['2012-12-12', None, '2002-1-10', None], dtype='object')

Now we will use Index.is_monotonic attribute to find out if the underlying data in the given Index object is monotonically increasing or not.

Output :

False

As we can see in the output, the Index.is_monotonic attribute has returned False indicating that the underlying data of the given Index object is not monotonically increasing.