String type in NumPy - Mini Project: Build & Apply

String type in NumPy

📖 Scenario: You work in a small company that stores customer names in a list. You want to use NumPy to handle these names efficiently for future analysis.

🎯 Goal: You will create a NumPy array of customer names using the string data type, then filter names based on length, and finally display the filtered names.

📋 What You'll Learn

Create a NumPy array with string type

Use a variable to set the minimum length for filtering

Use a list comprehension to filter names by length

Print the filtered names

💡 Why This Matters

🌍 Real World

Handling customer or user names efficiently is common in data science for cleaning and preparing data.

💼 Career

Knowing how to work with string data in NumPy helps in data preprocessing tasks in many data science and analytics jobs.

1

Create a NumPy array of customer names

Import NumPy as np and create a NumPy array called names with these exact strings: 'Alice', 'Bob', 'Charlie', 'David', 'Eva'. Make sure the array uses the string data type 'U'.

NumPy

# Import numpy and create the names array with string type
# Your code here

Need a hint?

Use np.array() with dtype='U' to create a string array.

2

Set the minimum length for filtering

Create a variable called min_length and set it to 5. This will be the minimum number of characters a name must have to be selected.

NumPy

import numpy as np
names = np.array(['Alice', 'Bob', 'Charlie', 'David', 'Eva'], dtype='U')
# Create min_length variable
# Your code here

Need a hint?

Just assign the number 5 to min_length.

3

Filter names by minimum length

Use a list comprehension to create a list called filtered_names that contains only the names from names whose length is greater than or equal to min_length. Use for name in names and len(name) to check the length.

NumPy

import numpy as np
names = np.array(['Alice', 'Bob', 'Charlie', 'David', 'Eva'], dtype='U')
min_length = 5
# Filter names by length using list comprehension
# Your code here

Need a hint?

Use [name for name in names if len(name) >= min_length] to filter.

4

Print the filtered names

Print the variable filtered_names to display the list of names that meet the length condition.

NumPy

import numpy as np
names = np.array(['Alice', 'Bob', 'Charlie', 'David', 'Eva'], dtype='U')
min_length = 5
filtered_names = [name for name in names if len(name) >= min_length]
# Print the filtered names
# Your code here

Need a hint?

Use print(filtered_names) to show the result.