python-scipyHow do I use the Python Numpy Arange function?
The numpy.arange
function is a powerful tool for generating sequences of numbers in Python. It takes three arguments: start, stop, and step size. The start argument is the first number in the sequence, the stop argument is the last number in the sequence, and the step size argument is the size of the step between each number in the sequence.
For example, the following code will generate a sequence of numbers from 0 to 10, with a step size of 2:
import numpy as np
x = np.arange(0, 10, 2)
print(x)
Output example
[0 2 4 6 8]
The code consists of three parts:
import numpy as np
- This imports the Numpy library, and assigns it to the variablenp
.x = np.arange(0, 10, 2)
- This creates an array of numbers from 0 to 10, with a step size of 2.print(x)
- This prints out the array of numbers.
For more information, check out the Numpy Arange documentation.
More of Python Scipy
- How can I check if a certain version of Python is compatible with SciPy?
- How can I use Python and SciPy to find the zeros of a function?
- How can I install and use SciPy on Ubuntu?
- How can I use Python and Numpy to parse XML data?
- How can I use Python and SciPy to generate a Voronoi diagram?
- How do I install and use Python-Scipy on Ubuntu 20.04?
- How do I use Python and SciPy to create a tutorial PDF?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How do I use the trapz function in Python SciPy?
- How can I use Python Scipy to zoom in on an image?
See more codes...