Generating a sequence of numbers
You may want to create an array of a range of numbers (e.g., 1 to 10) without having to type in every single number. The NumPy function arange() is an efficient way to create numeric arrays of a range of numbers. The arguments for arange() include the start, stop, and step interval as shown below:
np.arange(start, stop, step)
numpy is imported as np.
This is a part of the course
“Introduction to Python for Finance”
Exercise instructions
- Create an array
company_idscontaining the numbers 1 through 7 (inclusive). - Create an array
company_ids_oddcontaining only the odd numbers from 1 through 7 (inclusive).
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create and print company IDs
company_ids = np.arange(____, ____, 1)
print(company_ids)
# Use array slicing to select specific company IDs
company_ids_odd = ____(1, ____, ___)
print(company_ids_odd)This exercise is part of the course
Introduction to Python for Finance
Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.
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