Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
How to check the data present in a Series object is monotonically increasing or not?
To check if the data in the series is monotonically increasing or not, we can use the is_monotonic attribute of the pandas Series constructor.
The monotonically increasing is nothing but continuously increasing data. And the attribute “is_monotonic” is used to verify that the data in a given series object is always increasing or not.
In the pandas series constructor, we have another monotonic attribute for checking data increment which is nothing but is_monotonic_increasing (alias for is_monotonic).
Example 1
# importing required packages
import pandas as pd
import numpy as np
# creating pandas Series object
series = pd.Series(np.random.randint(10,100, 10))
print(series)
print("Is monotonic: ", series.is_monotonic)Explanation
In the following example, we initialized a Series with some random integer values created by using the NumPy random module. Then we applied the is_monotonic property on the series data.
Output
0 73 1 10 2 32 3 88 4 54 5 46 6 56 7 99 8 90 9 10 dtype: int32 Is monotonic: False
The output of the initial series object, as well as the output of the is_monotonic attribute, can be seen in the above output block.
The output for the is_monotonic attribute is a boolean value, for our example it is False. which means the data in the given series is not increasing continuously.
Example 2
import pandas as pd
# create a series
s = pd.Series([1,2,3,4,5,6,7,8,9,10])
print(s)
print("Is monotonic: ", s.is_monotonic)Explanation
In this example, we have initialized a series object, a python list of 10 integer values. After that, we applied the is_monotonic property to check the data of the series object.
Output
0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 dtype: int64 Is monotonic: True
We got the boolean value “False” as a result of the following example. which means the values present in the given series object is continuously increasing.
657 Views
