Python | Pandas Index.is_monotonic_decreasing

Python | Pandas Index.is_unique

Last Updated : 20 Feb, 2019

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_unique attribute return True if the underlying data in the given Index object is unique else it return False.

Syntax: Index.is_unique

Parameter : None

Returns : boolean

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

# importing pandas as pd 
import pandas as pd 
  
# Creating the index 
idx = pd.Index(['Melbourne', 'Sanghai', 'Lisbon', 'Doha', 'Moscow']) 
  
# Print the index 
print(idx) 

Output :

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

# check if the values in the Index 
# is unique or not. 
result = idx.is_unique 
  
# Print the result 
print(result) 

Output :

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

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

# importing pandas as pd 
import pandas as pd 
  
# Creating the index 
idx = pd.Index([900, 700, 620, 388, 900]) 
  
# Print the index 
print(idx) 

Output :

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

# check if the values in the Index 
# is unique or not. 
result = idx.is_unique 
  
# Print the result 
print(result) 

Output :

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

Python | Pandas Index.is_monotonic_decreasing

S

Shubham__Ranjan

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python | Pandas Index.unique()

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.unique() function return unique values in the index. Uniques are returned

Python | Pandas Index.union()

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.union() function form the union of two Index objects and sorts if possibl

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

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

Python | Pandas Index.size

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.size attribute return the number of elements in the underlying data of the given Index object. Syntax: Index.size Parameter : None Ret

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

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

Python | Pandas Index.values

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.values attribute return an array representing the data in the given Index object. Syntax: Index.values Parameter : None Returns : an a

Python | Pandas Index.insert()

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.insert() function make new Index inserting new item at location. This fun

Python | Pandas Index.ndim

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.ndim attribute return the number of dimensions of the underlying data in the given Index object. By definition it is 1. Syntax: Index.