Python | Pandas Index.is_monotonic_increasing

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_increasing attribute return True if the underlying data in the given Index object is monotonically increasing else it return False.

Syntax: Index.is_monotonic_increasing

Parameter : None

Returns : boolean

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

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index([100, 200, 420, 888, 924])

# Print the index
print(idx)

Output :

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

# check if the values in the Index
# are monotonically increasing
result = idx.is_monotonic_increasing

# Print the result
print(result)

Output :

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

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

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index(['2012-12-12', None, '2002-1-10', None])

# Print the index
print(idx)

Output :

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

# check if the values in the Index
# are monotonically increasing
result = idx.is_monotonic_increasing

# Print the result
print(result)

Output :

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