NumPy Array Math Practice - Learn NumPy Series
This video is a piece of a full learn NumPy Series, Start here:
• Introduction to NumPy Arrays for Begi...
In this one we look at a few more methods and get some practice setting the axis keyword argument.
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Full code from the video:
import numpy as np
array_a = np.array([[1,2,3],[4,5,6],[7,8,9]])
array_b = np.array([[2,2,2],[3,4,5],[6,7,8]])
print(array_a)
print(array_b)
print(array_a.sum(axis=0))
print(array_a.ptp())
print(array_a.min(axis=1))
print(array_a.max(axis=1))
print(array_a.mean(axis=1))
power
print(np.power(array_a, array_b))
array_c = np.array([[1,1,1],[2,2,2],[3,3,3]])
print( array_a + array_b + array_c)
https://github.com/Derrick-Sherrill/N...
Packages (& Versions) used in this video:
Python 3.7
NumPy 1.17
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Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/D...
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