dont give the same solution again ...10 min left fast Array Indexing: Knowing the basics of array indexing is important for analysing and manipulating the array object. NumPy offers many ways to do array indexing. O Slicing: Just like lists in python, NumPy arrays can be sliced. As arrays can be multidimensional, you need to specify a slice for each dimension of the array. O Integer array indexing: In this method, lists are passed for indexing for each dimension. One to one mapping of corresponding elements is done to construct a new arbitrary array. O Boolean array indexing: This method is used when we want to pick elements from array which satisfy some condition
dont give the same solution again ...10 min left fast Array Indexing: Knowing the basics of array indexing is important for analysing and manipulating the array object. NumPy offers many ways to do array indexing. O Slicing: Just like lists in python, NumPy arrays can be sliced. As arrays can be multidimensional, you need to specify a slice for each dimension of the array. O Integer array indexing: In this method, lists are passed for indexing for each dimension. One to one mapping of corresponding elements is done to construct a new arbitrary array. O Boolean array indexing: This method is used when we want to pick elements from array which satisfy some condition
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
![dont give the same solution again .10 min left fast
Array Indexing: Knowing the basics of array indexing is
important for
analysing and manipulating the array object. NumPy offers
many ways to do
array indexing.
O slicing: Just like lists in python, NumPy arrays can be sliced.
As arrays
can be multidimensional, you need to specify a slice for each
dimension of
the array.
O Integer array indexing: In this method, lists are passed for
indexing for
each dimension. One to one mapping of corresponding
elements is done to
construct a new arbitrary array.
O Boolean array indexing: This method is used when we want
to pick
elements from array which satisfy some condition](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd30c04ff-e347-4290-a5c8-7f6062a80a9f%2Fb59a34b7-de5b-4418-a70f-52847d344b48%2F276083q_processed.png&w=3840&q=75)
Transcribed Image Text:dont give the same solution again .10 min left fast
Array Indexing: Knowing the basics of array indexing is
important for
analysing and manipulating the array object. NumPy offers
many ways to do
array indexing.
O slicing: Just like lists in python, NumPy arrays can be sliced.
As arrays
can be multidimensional, you need to specify a slice for each
dimension of
the array.
O Integer array indexing: In this method, lists are passed for
indexing for
each dimension. One to one mapping of corresponding
elements is done to
construct a new arbitrary array.
O Boolean array indexing: This method is used when we want
to pick
elements from array which satisfy some condition
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