Name	Size	Mode	Actions
__pycache__/	-	0755	rm
arithmetic.py	7455	0644	editdlrm
arrayprint.py	766	0644	editdlrm
arrayterator.py	393	0644	editdlrm
array_constructors.py	2419	0644	editdlrm
array_like.py	916	0644	editdlrm
bitwise_ops.py	970	0644	editdlrm
comparisons.py	2992	0644	editdlrm
dtype.py	1069	0644	editdlrm
einsumfunc.py	1370	0644	editdlrm
flatiter.py	174	0644	editdlrm
fromnumeric.py	3742	0644	editdlrm
index_tricks.py	1492	0644	editdlrm
lib_utils.py	434	0644	editdlrm
lib_version.py	299	0644	editdlrm
literal.py	1331	0644	editdlrm
mod.py	1578	0644	editdlrm
modules.py	576	0644	editdlrm
multiarray.py	1331	0644	editdlrm
ndarray_conversion.py	1626	0644	editdlrm
ndarray_misc.py	2715	0644	editdlrm
ndarray_shape_manipulation.py	640	0644	editdlrm
numeric.py	1490	0644	editdlrm
numerictypes.py	750	0644	editdlrm
random.py	61881	0644	editdlrm
scalars.py	3479	0644	editdlrm
simple.py	2676	0644	editdlrm
simple_py3.py	96	0644	editdlrm
ufunclike.py	1039	0644	editdlrm
ufuncs.py	462	0644	editdlrm
ufunc_config.py	1204	0644	editdlrm
warnings_and_errors.py	150	0644	editdlrm

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