Creating Array using arange()

The arange() function is part of the NumPy library in Python and is used to create arrays with regularly incrementing values.

Syntax:

arange([start,] stop[, step,], dtype=None, *, like=None)

Here’s a breakdown of its parameters:

• start (optional): The starting value of the sequence. The default is 0.
• stop (required): The end value of the sequence.
• step (optional): The spacing between values. The default is 1.
• dtype (optional): The data type of the output array. If not given, it is inferred from the other input arguments.

Use Cases:

• Generating sequences of numbers for iteration in loops.
• Creating time intervals.
• Producing sample points for functions.

Creating 1-D array using arange()

Note: Can’t create a 2-D array in arange(). But we can convert arange() into a 2-D or 3-D Array using reshape.

That’s it for now, let’s deep dive into NumPy in my upcoming blogs.

And can learn more from my Github profile:

GitHub — vandanasri/NumPyLearnings

Also Matplotlib learnings from github:

GitHub — vandanasri/MatplotlibLearnings: Learning practice for Matplotlib

Pandas Learnings from github:

GitHub - vandanasri/PandasLearnings: Learn Pandas

Check some of my other blogs in this series:

• Introduction to NumPy
• Basic concept of NumPy
• Arrays vs NumPy Arrays vs List
• Creation of NumPy