NumPy-Arrays vertiefen

Python für MATLAB-Anwender

Justin Kiggins

Product Manager

Berechnungen mit NumPy-Arrays

print(radius)

[[1, 2, 3]]

type(radius)

 <class 'numpy.ndarray'>

area = np.pi * (radius ** 2)
print(area)

[3.14159265 12.56637061 
28.27433388]

type(revenue)

<class 'numpy.ndarray'>

print(revenue)

[[100, 114, 96, 120]]

type(cost)

<class 'numpy.ndarray'>

print(cost)

[102. 104. 101. 102.]

profit = revenue - cost
print(profit)

[-2. 10. -5. 18.]

import numpy as np

np.mean(revenue)

107.5

Einige nützliche NumPy-Funktionen:

Python für MATLAB-Anwender