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95 lines
1.6 KiB
95 lines
1.6 KiB
1 year ago
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import os
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import tempfile
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import numpy as np
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nd = np.array([[1, 2], [3, 4]])
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scalar_array = np.array(1)
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# item
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scalar_array.item()
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nd.item(1)
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nd.item(0, 1)
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nd.item((0, 1))
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# tolist is pretty simple
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# itemset
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scalar_array.itemset(3)
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nd.itemset(3, 0)
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nd.itemset((0, 0), 3)
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# tobytes
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nd.tobytes()
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nd.tobytes("C")
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nd.tobytes(None)
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# tofile
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if os.name != "nt":
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with tempfile.NamedTemporaryFile(suffix=".txt") as tmp:
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nd.tofile(tmp.name)
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nd.tofile(tmp.name, "")
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nd.tofile(tmp.name, sep="")
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nd.tofile(tmp.name, "", "%s")
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nd.tofile(tmp.name, format="%s")
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nd.tofile(tmp)
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# dump is pretty simple
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# dumps is pretty simple
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# astype
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nd.astype("float")
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nd.astype(float)
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nd.astype(float, "K")
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nd.astype(float, order="K")
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nd.astype(float, "K", "unsafe")
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nd.astype(float, casting="unsafe")
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nd.astype(float, "K", "unsafe", True)
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nd.astype(float, subok=True)
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nd.astype(float, "K", "unsafe", True, True)
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nd.astype(float, copy=True)
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# byteswap
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nd.byteswap()
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nd.byteswap(True)
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# copy
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nd.copy()
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nd.copy("C")
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# view
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nd.view()
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nd.view(np.int64)
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nd.view(dtype=np.int64)
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nd.view(np.int64, np.matrix)
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nd.view(type=np.matrix)
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# getfield
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complex_array = np.array([[1 + 1j, 0], [0, 1 - 1j]], dtype=np.complex128)
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complex_array.getfield("float")
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complex_array.getfield(float)
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complex_array.getfield("float", 8)
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complex_array.getfield(float, offset=8)
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# setflags
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nd.setflags()
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nd.setflags(True)
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nd.setflags(write=True)
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nd.setflags(True, True)
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nd.setflags(write=True, align=True)
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nd.setflags(True, True, False)
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nd.setflags(write=True, align=True, uic=False)
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# fill is pretty simple
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