Dask鏄竴涓敤浜庡苟琛岃绠楃殑寮€婧愬簱锛屽畠鍙互涓嶯umPy涓€璧蜂娇鐢ㄤ互瀹炵幇鏇撮珮鏁堢殑璁＄畻銆備互涓嬫槸浣跨敤NumPy鍜孌ask闆嗘垚鐨勪竴浜涘父瑙佹柟娉曪細

1. 浣跨敤Dask Array浠ｆ浛NumPy Array锛欴ask Array鏄竴涓欢杩熻绠楃殑鏁版嵁缁撴瀯锛屽畠鍙互灏嗗ぇ鍨嬫暟缁勫垎鎴愬涓皬鍧楋紝骞跺厑璁稿苟琛岃绠椼€傛偍鍙互浣跨敤Dask Array浠ｆ浛NumPy Array锛屼互瀹炵幇鏇撮珮鏁堢殑骞惰璁＄畻銆?/li>

import dask.array as da

# 鍒涘缓涓€涓狣ask Array
x = da.random.random((1000, 1000), chunks=(100, 100))

# 璁＄畻鏁扮粍鐨勫钩鍧囧€?/span>
mean = x.mean()

2. 浣跨敤Dask Delayed鎵ц寤惰繜璁＄畻锛欴ask Delayed鍏佽鎮ㄥ欢杩熻绠楃洿鍒伴渶瑕佺粨鏋滄椂鎵嶆墽琛屻€傛偍鍙互浣跨敤Dask Delayed鏉ュ苟琛屽寲NumPy璁＄畻銆?/li>

from dask import delayed

# 瀹氫箟涓€涓欢杩熷嚱鏁?/span>
@delayed
def compute_mean(x):
    return x.mean()

# 骞惰璁＄畻鏁扮粍鐨勫钩鍧囧€?/span>
mean = compute_mean(x)

3. 浣跨敤Dask Bag浠ｆ浛NumPy Array锛欴ask Bag鏄竴涓彲浠ュ鐞嗕笉瑙勫垯鏁版嵁鐨勬暟鎹粨鏋勶紝瀹冨彲浠ヤ唬鏇縉umPy Array鏉ュ鐞嗛潪缁撴瀯鍖栨暟鎹€?/li>

import dask.bag as db

# 鍒涘缓涓€涓狣ask Bag
data = db.from_sequence([1, 2, 3, 4, 5])

# 璁＄畻鏁版嵁鐨勫钩鍧囧€?/span>
mean = data.mean().compute()

閫氳繃杩欎簺鏂规硶锛屾偍鍙互灏哊umPy鍜孌ask闆嗘垚浣跨敤锛屼互瀹炵幇鏇撮珮鏁堢殑骞惰璁＄畻銆?/p>