Here is a step-by-step guide on how to do this in Python:

1. Import the necessary library:
```python
import numpy as np
```
2. Create an array to store temperatures. For this, you need to read N temperatures recorded in a day. Let's assume N is 5 for this example:
```python
temperatures = np.array([32, 28, 31, 30, 33])
```
3. Create another array to represent the updated temperatures. This will be a copy of the original temperatures array:
```python
updated_temperatures = np.copy(temperatures)
```
4. Increment the elements of the temperature array by a value of 10 if the temperature is 30. You can do this with a for loop:
```python
for i in range(len(updated_temperatures)):
if updated_temperatures[i] 30:
updated_temperatures[i] += 10
```
5. Print the updated temperatures:
```python
print("Updated temperatures: ", updated_temperatures)
```
6. Print the original temperatures:
```python
print("Original temperatures: ", temperatures)
```
When you run this code, it will print the updated temperatures where any temperature over 30 has been increased by 10, and it will also print the original temperatures.

Question

Here is a step-by-step guide on how to do this in Python:

1. Import the necessary library:
```python
import numpy as np
```
2. Create an array to store temperatures. For this, you need to read N temperatures recorded in a day. Let's assume N is 5 for this example:
```python
temperatures = np.array([32, 28, 31, 30, 33])
```
3. Create another array to represent the updated temperatures. This will be a copy of the original temperatures array:
```python
updated_temperatures = np.copy(temperatures)
```
4. Increment the elements of the temperature array by a value of 10 if the temperature is >30. You can do this with a for loop:
```python
for i in range(len(updated_temperatures)):
    if updated_temperatures[i] > 30:
        updated_temperatures[i] += 10
```
5. Print the updated temperatures:
```python
print("Updated temperatures: ", updated_temperatures)
```
6. Print the original temperatures:
```python
print("Original temperatures: ", temperatures)
```
When you run this code, it will print the updated temperatures where any temperature over 30 has been increased by 10, and it will also print the original temperatures.

Knowee AI · Accepted Answer

Here is a step-by-step guide on how to do this in Python:

1. Import the necessary library:
```python
import numpy as np
```
2. Create an array to store temperatures. For this, you need to read N temperatures recorded in a day. Let's assume N is 5 for this example:
```python
temperatures = np.array([32, 28, 31, 30, 33])
```
3. Create another array to represent the updated temperatures. This will be a copy of the original temperatures array:
```python
updated_temperatures = np.copy(temperatures)
```
4. Increment the elements of the temperature array by a value of 10 if the temperature is >30. You can do this with a for loop:
```python
for i in range(len(updated_temperatures)):
    if updated_temperatures[i] > 30:
        updated_temperatures[i] += 10
```
5. Print the updated temperatures:
```python
print("Updated temperatures: ", updated_temperatures)
```
6. Print the original temperatures:
```python
print("Original temperatures: ", temperatures)
```
When you run this code, it will print the updated temperatures where any temperature over 30 has been increased by 10, and it will also print the original temperatures.

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