np.take() and np.put() for advanced selection in NumPy - Mini Project: Build & Apply

Using np.take() and np.put() for Advanced Selection in NumPy

📖 Scenario: Imagine you have a list of daily temperatures recorded over a week. You want to select specific days to analyze and then update some of those days with corrected temperature values.

🎯 Goal: You will create a NumPy array of temperatures, select specific days using np.take(), update some temperatures using np.put(), and then display the updated temperatures.

📋 What You'll Learn

Create a NumPy array called temps with exact values: [22, 24, 19, 23, 25, 20, 21]

Create an index array called selected_days with exact values: [1, 3, 4]

Use np.take() with temps and selected_days to select temperatures for those days

Use np.put() to update the temperature on day 3 (index 3) to 26 in the original temps array

Print the updated temps array

💡 Why This Matters

🌍 Real World

Selecting and updating specific data points in arrays is common in data cleaning and analysis, such as correcting sensor readings or focusing on key days in time series data.

💼 Career

Data scientists often need to manipulate arrays efficiently. Knowing how to select and update data using NumPy functions like <code>np.take()</code> and <code>np.put()</code> helps in writing clean and fast data processing code.

1

Create the temperatures array

Create a NumPy array called temps with these exact values: [22, 24, 19, 23, 25, 20, 21]

NumPy

# Create the NumPy array temps with the given values
# Your code here

Need a hint?

Use np.array() to create the array with the exact values.

2

Create the index array for selected days

Create a NumPy array called selected_days with these exact values: [1, 3, 4]

NumPy

import numpy as np

temps = np.array([22, 24, 19, 23, 25, 20, 21])

# Create the NumPy array selected_days with the given indices
# Your code here

Need a hint?

Use np.array() to create the index array with the exact values.

3

Select temperatures for the chosen days using np.take()

Use np.take() with temps and selected_days to create a new array called selected_temps that contains the temperatures for those days

NumPy

import numpy as np

temps = np.array([22, 24, 19, 23, 25, 20, 21])
selected_days = np.array([1, 3, 4])

# Use np.take() to select temperatures for selected_days
# Your code here

Need a hint?

Use np.take(temps, selected_days) to get the temperatures for the selected days.

4

Update a temperature using np.put() and print the result

Use np.put() to update the temperature at index 3 in temps to 26. Then print the updated temps array.

NumPy

import numpy as np

temps = np.array([22, 24, 19, 23, 25, 20, 21])
selected_days = np.array([1, 3, 4])
selected_temps = np.take(temps, selected_days)

# Use np.put() to update temps at index 3 to 26
# Then print temps
# Your code here

Need a hint?

Use np.put(temps, 3, 26) to update the value, then print(temps) to show the updated array.