Numpy own usage summary

More recently with numpy, side by side reviewed their usage.

1. Array

1.1 * n row m column generates a random array

Import numpy NP AS 

# generates m columns * n rows random array 
# np.random.random ((m, n-)) 
# generates a random array of 3 rows and 2 columns, it looks want bigger, later by 50 
Print (np.random.random ((. 3, 2)) * 50)

 

2. Digital

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Origin www.cnblogs.com/zrmw/p/11464676.html