Python | Pandas Index.is_monotonic Last Updated : 27 Feb, 2019 Comments Improve Suggest changes Like Article Like Report 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. Python3 # 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 : 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. Python3 1== # check if the values in the Index # are monotonically increasing result = idx.is_monotonic # Print the result print(result) 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. Python3 # 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 : 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. Python3 1== # check if the values in the Index # are monotonically increasing result = idx.is_monotonic # Print the result print(result) 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. Comment More infoAdvertise with us Next Article Python | Pandas Index.is_monotonic S Shubham__Ranjan Follow Improve Article Tags : Python Pandas Python-pandas Python pandas-indexing AI-ML-DS With Python +1 More Practice Tags : python Similar Reads 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 ret 2 min read Python | Pandas Index.is_monotonic_decreasing 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_decreasing attribute return True if the underlying data in the given Index object is monotonically decreasing else it ret 2 min read Python | Pandas Index.notna() 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.notna() function Detect existing (non-missing) values. Return a boolean sa 2 min read Python | Pandas Index.isin() 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.isin() function return a boolean array where the index values are in valu 2 min read Python | Pandas Index.isna() 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.isna() function detect missing values. It return a boolean same-sized obj 2 min read Python | Pandas Index.notnull() 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.notnull() function detect existing (non-missing) values. This function re 2 min read Python | Pandas Series.is_monotonic 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 series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Index.min() 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.min() function returns the minimum value of the Index. The function works 2 min read Python | Pandas Series.is_monotonic_increasing 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 series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Index.isnull() 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.isnull() function detect missing values. It return a boolean same-sized o 2 min read Like