numpy.ma.MaskedArray class is a subclass of ndarray for manipulating numeric arrays with missing data. With Numpy MaskedArray .__ imul__ we can multiply a specific value that is provided as a parameter in the MaskedArray .__ imul __ () method. The value will be multiplied by each element in the array.
Syntax: numpy.MaskedArray .__ imul __ (other)
Return: strong > Multiply self by other in-place.
Example # 1:
In this example, we see that each element of the array is multiplied by the value specified as a parameter in the MaskedArray .__ imul __ () method. Remember one thing, this will not work for double type values.
[5. 10. 15. 23.5 26. ]
Example # 2:
[[5 10 15 20 25] [30 25 20 15 10]]
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...
The field of Artificial Intelligence (AI), which can definitely be considered to be the parent field of deep learning, has a rich history going back to 1950. While we will not cover this history in mu...
We live in an age of so-called Big Data. We hear terms like data scientist, and there is much talk about analytics and the mining of large amounts of corporate data for tidbits of business value. Ther...
Data scientist has been called “the sexiest job of the 21st century,” presumably by someone who has never visited a fire station. Nonetheless, 23/09/2020