Viewing file:  ndarray_conversion.py (1.59 KB) -rw-r--r--
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import os
import tempfile
import numpy as np
nd = np.array([[1, 2], [3, 4]])
scalar_array = np.array(1)
# item
scalar_array.item()
nd.item(1)
nd.item(0, 1)
nd.item((0, 1))
# tolist is pretty simple
# itemset
scalar_array.itemset(3)
nd.itemset(3, 0)
nd.itemset((0, 0), 3)
# tobytes
nd.tobytes()
nd.tobytes("C")
nd.tobytes(None)
# tofile
if os.name != "nt":
with tempfile.NamedTemporaryFile(suffix=".txt") as tmp:
nd.tofile(tmp.name)
nd.tofile(tmp.name, "")
nd.tofile(tmp.name, sep="")
nd.tofile(tmp.name, "", "%s")
nd.tofile(tmp.name, format="%s")
nd.tofile(tmp)
# dump is pretty simple
# dumps is pretty simple
# astype
nd.astype("float")
nd.astype(float)
nd.astype(float, "K")
nd.astype(float, order="K")
nd.astype(float, "K", "unsafe")
nd.astype(float, casting="unsafe")
nd.astype(float, "K", "unsafe", True)
nd.astype(float, subok=True)
nd.astype(float, "K", "unsafe", True, True)
nd.astype(float, copy=True)
# byteswap
nd.byteswap()
nd.byteswap(True)
# copy
nd.copy()
nd.copy("C")
# view
nd.view()
nd.view(np.int64)
nd.view(dtype=np.int64)
nd.view(np.int64, np.matrix)
nd.view(type=np.matrix)
# getfield
complex_array = np.array([[1 + 1j, 0], [0, 1 - 1j]], dtype=np.complex128)
complex_array.getfield("float")
complex_array.getfield(float)
complex_array.getfield("float", 8)
complex_array.getfield(float, offset=8)
# setflags
nd.setflags()
nd.setflags(True)
nd.setflags(write=True)
nd.setflags(True, True)
nd.setflags(write=True, align=True)
nd.setflags(True, True, False)
nd.setflags(write=True, align=True, uic=False)
# fill is pretty simple
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