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Answer :
Using NumPy, we will create a 2-D array called "myarray1" and performe the tasks as follows: Task 1-2: We will find the dimensions, shape, size, and data type of "myarray1". Task 1-3: We will display all elements in the 2nd and 3rd rows of "myarray1" using array indexing.
Task 1-2:
To find the dimensions, shape, size, and data type of the NumPy array "myarray1":
import numpy as np
# Creating the 2-D NumPy array using nested Python lists
myarray1 = np.array([[2.7, -2, -19],
[0, 3.4, 99.9],
[10.6, 0, 13]])
# Task 1-2: Finding dimensions, shape, size, and data type
dimensions = myarray1.ndim
shape = myarray1.shape
size = myarray1.size
data_type = myarray1.dtype
Task 1-3:
To display all elements in the 2nd and 3rd rows of the array "myarray1":
# Task 1-3: Displaying elements in the 2nd and 3rd rows
second_row = myarray1[1]
third_row = myarray1[2]
Task 1-2:
The dimensions of an array refer to the number of axes (dimensions) it has. In this case, "myarray1" is a 2-dimensional array, so its dimensions are 2.
The shape of an array represents the size of each dimension. For "myarray1", it has 3 rows and 3 columns, so its shape is (3, 3).
The size of an array is the total number of elements it contains. In this case, "myarray1" has 9 elements, so its size is 9.
The data type of an array represents the type of data stored in the array. Since "myarray1" contains floating-point numbers, its data type is "float64".
Task 1-3:
To display all elements in the 2nd row, we use indexing with myarray1[1]. In Python, indexing is zero-based, so the 2nd row corresponds to index 1.
To display all elements in the 3rd row, we use indexing with myarray1[2]. Again, since indexing is zero-based, the 3rd row corresponds to index 2.
Using NumPy, we created a 2-D array called "myarray1" and performed the tasks as follows:
Task 1-2: We found the dimensions, shape, size, and data type of "myarray1".
Task 1-3: We displayed all elements in the 2nd and 3rd rows of "myarray1" using array indexing.
To know more about NumPy, visit;
https://brainly.com/question/30764048
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