How to Iterate through a Non-Integer Range
When attempting to create a range with a decimal step value using range(), you may encounter an error stating that the step argument cannot be zero. This arises because range() expects integer values for the start, stop, and step parameters.
Solution Using NumPy's linspace
To circumvent this issue and create a range with a non-integer step value, consider utilizing NumPy's linspace function. linspace takes the number of points to return and allows you to specify whether or not to include the right endpoint. For instance:
import numpy as np # Create a range from 0 to 1 with 11 equally spaced points (including 1) points = np.linspace(0, 1, 11) # Create a range from 0 to 1 with 10 equally spaced points (excluding 1) points_excl = np.linspace(0, 1, 10, endpoint=False)
Solution Using NumPy's arange
While using a floating-point step value is generally not recommended due to potential rounding errors, NumPy provides the arange function specifically designed for this purpose. However, be aware that rounding errors can still arise:
import numpy as np # Create a range from 0.0 to 1.0 with a step value of 0.1 points = np.arange(0.0, 1.0, 0.1) # Example of a potential rounding error using arange points = np.arange(1, 1.3, 0.1) # Expected length: 3, Actual length: 4
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