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What will be the output of the following code?
import numpy as np
import numpy as np
my_array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(my_array[2][1])
print(my_array[2][1])
- a)1
- b)2
- c)6
- d)8
Correct answer is option 'D'. Can you explain this answer?
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Most Upvoted Answer
What will be the output of the following code?import numpy as npmy_arr...
The code my_array[2][1] accesses the element at index (2, 1) in the 2D numpy array my_array, which is 8.
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Community Answer
What will be the output of the following code?import numpy as npmy_arr...
Output Explanation:
The given code defines a 2-dimensional array using the `numpy` library and then prints the value at the specified index.
Here's a step-by-step explanation of the code:
1. The `numpy` library is imported using the line `import numpy as np`. This allows us to use the `numpy` functions and data types in our code.
2. The variable `my_array` is defined as a 2-dimensional array using the `np.array()` function. The array contains three rows and three columns, with the following values:
```
[[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
```
3. The line `print(my_array[2][1])` prints the value at the index `[2][1]` of the `my_array` array. In Python, indexing starts from 0, so `[2][1]` refers to the element in the third row, second column of the array.
4. The output is the value `8`, which is the element at the specified index `[2][1]`.
Explanation of the options:
a) Option '1': This is not the correct answer because the value at the specified index `[2][1]` is `8`, not `1`.
b) Option '2': This is not the correct answer because the value at the specified index `[2][1]` is `8`, not `2`.
c) Option '6': This is not the correct answer because the value at the specified index `[2][1]` is `8`, not `6`.
d) Option '8': This is the correct answer because the value at the specified index `[2][1]` is indeed `8`.
The given code defines a 2-dimensional array using the `numpy` library and then prints the value at the specified index.
Here's a step-by-step explanation of the code:
1. The `numpy` library is imported using the line `import numpy as np`. This allows us to use the `numpy` functions and data types in our code.
2. The variable `my_array` is defined as a 2-dimensional array using the `np.array()` function. The array contains three rows and three columns, with the following values:
```
[[1, 2, 3],
[4, 5, 6],
[7, 8, 9]]
```
3. The line `print(my_array[2][1])` prints the value at the index `[2][1]` of the `my_array` array. In Python, indexing starts from 0, so `[2][1]` refers to the element in the third row, second column of the array.
4. The output is the value `8`, which is the element at the specified index `[2][1]`.
Explanation of the options:
a) Option '1': This is not the correct answer because the value at the specified index `[2][1]` is `8`, not `1`.
b) Option '2': This is not the correct answer because the value at the specified index `[2][1]` is `8`, not `2`.
c) Option '6': This is not the correct answer because the value at the specified index `[2][1]` is `8`, not `6`.
d) Option '8': This is the correct answer because the value at the specified index `[2][1]` is indeed `8`.
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What will be the output of the following code?import numpy as npmy_array = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])print(my_array[2][1])a)1b)2c)6d)8Correct answer is option 'D'. Can you explain this answer?
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