Data Warehousing
Data Warehouse PDF: Data Warehousing Concepts (Book)
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numpy.arange() is an inbuilt numpy function that returns an ndarray object containing evenly spaced values within a defined interval. For instance, you want to create values from 1 to 10; you can use numpy.arange() function.
Syntax:
numpy.arange(start, stop,step)
Example:
import numpy np np.arange(1, 11)
Output:
array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
Example:
If you want to change the step, you can add a third number in the parenthesis. It will change the step.
import numpy np np.arange(1, 14, 4)
Output:
array([ 1, 5, 9, 13])
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