numpy.ma.MaskedArray class is a subclass of ndarray for manipulating numeric arrays with missing data. Using the Numpy operator MaskedArray .__ lt__ we can determine which element of the array is less than the value specified in the parameter.
Syntax : numpy.MaskedArray .__ lt__
Return: self & lt; value.
Example # 1: strong>
In this example, we can see that after applying MaskedArray .__ lt __ () we get a simple boolean array that can tell us which element in the array is smaller than the supplied parameter.
[True True True False False False]
Example # 2:
< code class = "undefined spaces">
[[True True False False False] [False False False True True True]]
Taking into account the development of modern programming, especially the emerging programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and...
Google BigQuery: The Definitive Guide PDF download. Data Warehousing, Analytics, and Machine Learning at Scale, 1st Edition, 2019. Work with petabyte-scale datasets while building a collaborative a...
Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series), 1st Edition. Pandas for Everyone brings together the practical knowledge and insights you need to solve real-worl...
This first edition of Strategic Engineering for Cloud Computing and Big Data Analytics focuses on addressing numerous and complex, inter-related issues which are inherently linked to systems engineeri...