NumPy濡備綍涓嶴ciPy闆嗘垚浣跨敤
NumPy鍜孲ciPy鏄袱涓父鐢ㄧ殑Python搴擄紝瀹冧滑閫氬父涓€璧蜂娇鐢ㄤ互杩涜绉戝璁$畻鍜屾暟鎹垎鏋愩€侼umPy鎻愪緵浜嗘暟缁勬搷浣滃拰鏁板鍑芥暟锛岃€孲ciPy鍒欐彁渚涗簡鏇撮珮绾х殑绉戝璁$畻鍔熻兘锛屼緥濡備紭鍖栥€佺Н鍒嗐€佺嚎鎬т唬鏁扮瓑銆?/p>
瑕佷笌SciPy闆嗘垚浣跨敤NumPy锛屽彲浠ユ寜鐓т互涓嬫楠よ繘琛岋細
- 瀵煎叆NumPy鍜孲ciPy搴擄細
import numpy as np
import scipy
- 浣跨敤NumPy鍒涘缓鏁扮粍鎴栫煩闃碉細
arr = np.array([1, 2, 3, 4, 5])
mat = np.array([[1, 2], [3, 4]])
- 浣跨敤SciPy鐨勬ā鍧楄繘琛岀瀛﹁绠楋細
# 渚嬪锛屼娇鐢⊿ciPy鐨勭嚎鎬т唬鏁版ā鍧楄绠楃煩闃电殑閫?/span>
inv_mat = scipy.linalg.inv(mat)
- 浣跨敤NumPy鍜孲ciPy鍏卞悓鎻愪緵鐨勫姛鑳斤細
# 渚嬪锛屼娇鐢∟umPy鐨勬暟瀛﹀嚱鏁板拰SciPy鐨勪紭鍖栨ā鍧楃粨鍚堣繘琛屽嚱鏁颁紭鍖?/span>
from scipy.optimize import minimize
def func(x):
return x**2 + 4*x + 4
result = minimize(func, x0=0)
print(result.x)
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