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author | Matthew Brett <matthew.brett@gmail.com> | 2008-08-24 20:56:30 +0000 |
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committer | Matthew Brett <matthew.brett@gmail.com> | 2008-08-24 20:56:30 +0000 |
commit | 95ab3b5901656dc98711a58231969052165e9017 (patch) | |
tree | e0a92dfb57a70aa4978a9a85671de78e6853b647 /numpy/core/memmap.py | |
parent | 59034c84a6e9efb605328e37b232f91e3c8c0618 (diff) | |
download | numpy-95ab3b5901656dc98711a58231969052165e9017.tar.gz |
Note on mmap size on python 2.5 from numpy book
Diffstat (limited to 'numpy/core/memmap.py')
-rw-r--r-- | numpy/core/memmap.py | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/numpy/core/memmap.py b/numpy/core/memmap.py index 85e424729..05aaefef0 100644 --- a/numpy/core/memmap.py +++ b/numpy/core/memmap.py @@ -75,6 +75,14 @@ class memmap(ndarray): Given a memmap ``fp``, ``isinstance(fp, numpy.ndarray)`` returns ``True``. + Notes + ----- + + Memory-mapped arrays use the the Python memory-map object which + (prior to Python 2.5) does not allow files to be larger than a + certain size depending on the platform. This size is always < 2GB + even on 64-bit systems. + Examples -------- >>> data = np.arange(12, dtype='float32') |