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Function load

numpy/lib/npyio.py:283–468  ·  view source on GitHub ↗

Load arrays or pickled objects from ``.npy``, ``.npz`` or pickled files. .. warning:: Loading files that contain object arrays uses the ``pickle`` module, which is not secure against erroneous or maliciously constructed data. Consider passing ``allow_pickl

(file, mmap_mode=None, allow_pickle=False, fix_imports=True,
         encoding='ASCII', *, max_header_size=format._MAX_HEADER_SIZE)

Source from the content-addressed store, hash-verified

281
282@set_module('numpy')
283def load(file, mmap_mode=None, allow_pickle=False, fix_imports=True,
284 encoding='ASCII', *, max_header_size=format._MAX_HEADER_SIZE):
285 """
286 Load arrays or pickled objects from ``.npy``, ``.npz`` or pickled files.
287
288 .. warning:: Loading files that contain object arrays uses the ``pickle``
289 module, which is not secure against erroneous or maliciously
290 constructed data. Consider passing ``allow_pickle=False`` to
291 load data that is known not to contain object arrays for the
292 safer handling of untrusted sources.
293
294 Parameters
295 ----------
296 file : file-like object, string, or pathlib.Path
297 The file to read. File-like objects must support the
298 ``seek()`` and ``read()`` methods and must always
299 be opened in binary mode. Pickled files require that the
300 file-like object support the ``readline()`` method as well.
301 mmap_mode : {None, 'r+', 'r', 'w+', 'c'}, optional
302 If not None, then memory-map the file, using the given mode (see
303 `numpy.memmap` for a detailed description of the modes). A
304 memory-mapped array is kept on disk. However, it can be accessed
305 and sliced like any ndarray. Memory mapping is especially useful
306 for accessing small fragments of large files without reading the
307 entire file into memory.
308 allow_pickle : bool, optional
309 Allow loading pickled object arrays stored in npy files. Reasons for
310 disallowing pickles include security, as loading pickled data can
311 execute arbitrary code. If pickles are disallowed, loading object
312 arrays will fail. Default: False
313
314 .. versionchanged:: 1.16.3
315 Made default False in response to CVE-2019-6446.
316
317 fix_imports : bool, optional
318 Only useful when loading Python 2 generated pickled files on Python 3,
319 which includes npy/npz files containing object arrays. If `fix_imports`
320 is True, pickle will try to map the old Python 2 names to the new names
321 used in Python 3.
322 encoding : str, optional
323 What encoding to use when reading Python 2 strings. Only useful when
324 loading Python 2 generated pickled files in Python 3, which includes
325 npy/npz files containing object arrays. Values other than 'latin1',
326 'ASCII', and 'bytes' are not allowed, as they can corrupt numerical
327 data. Default: 'ASCII'
328 max_header_size : int, optional
329 Maximum allowed size of the header. Large headers may not be safe
330 to load securely and thus require explicitly passing a larger value.
331 See :py:func:`ast.literal_eval()` for details.
332 This option is ignored when `allow_pickle` is passed. In that case
333 the file is by definition trusted and the limit is unnecessary.
334
335 Returns
336 -------
337 result : array, tuple, dict, etc.
338 Data stored in the file. For ``.npz`` files, the returned instance
339 of NpzFile class must be closed to avoid leaking file descriptors.
340

Callers 1

_load_bMethod · 0.50

Calls 6

openFunction · 0.85
NpzFileClass · 0.85
seekMethod · 0.80
startswithMethod · 0.80
minFunction · 0.50
readMethod · 0.45

Tested by 1

_load_bMethod · 0.40