np.save
numpy.save(file, arr, allow_pickle=True, fix_imports=True)
-
file:file, str, or pathlib.Path
儲存檔名或路徑。
-
arr:array_like
要保存的NumPy陣列變數資料。
寫入 .npy 檔
with open("test.npy", "wb") as f:
np.save(f, np.array([1, 2]))
np.save(f, np.array([1, 3]))
讀取 .npy 檔
with open("test.npy", "rb") as f:
a = np.load(f)
b = np.load(f)
print(a, b)
# [1 2] [1 3]
np.savez
numpy.savez(file, *args, **kwds)
-
file:str or file
儲存檔名或路徑。
-
args:Arguments, optional
要保存NumPy陣列變數資料。會自動使用關鍵字參數(請參閱下面的 kwds)為陣列分配名稱。指定為 args 的數組將命名為“arr_0”、“arr_1”等。
-
kwds:Keyword arguments, optional
要保存到文件的數組。每個數組都將保存到輸出文件及其對應的關鍵字名稱。
使用 *args 參數來儲存 (會預設名稱)
np.savez(outfile, x, y)
_ = outfile.seek(0) # Only needed here to simulate closing & reopening file
npzfile = np.load(outfile)
npzfile.files
['arr_0', 'arr_1']
npzfile['arr_0']
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
使用 **kwds 參數來儲存 (自定義名稱)
outfile = TemporaryFile()
np.savez(outfile, x=x, y=y)
_ = outfile.seek(0)
npzfile = np.load(outfile)
sorted(npzfile.files)
['x', 'y']
npzfile['x']
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
參考
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