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Installation de h5py sur un serveur Ubuntu

J'installais h5py sur un serveur Ubuntu. Cependant, il semble que l'erreur h5py.h soit introuvable. Le même message d'erreur apparaît lorsque je l'installe à l'aide de pip ou du fichier setup.py. Qu'est-ce que j'oublie ici?

J'ai Numpy version 1.8.1, qui est supérieur à la version requise de 1.6 ou supérieure.

La sortie complète est la suivante:

van@Hulk:~/h5py-2.3.1⟫ Sudo python setup.py install
libhdf5.so: cannot open shared object file: No such file or directory
HDF5 autodetection failed; building for 1.8.4+
running install
running bdist_Egg
running Egg_info
writing h5py.Egg-info/PKG-INFO
writing top-level names to h5py.Egg-info/top_level.txt
writing dependency_links to h5py.Egg-info/dependency_links.txt
reading manifest file 'h5py.Egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '*.c' under directory 'win_include'
warning: no files found matching '*.h' under directory 'win_include'
writing manifest file 'h5py.Egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/Egg
running install_lib
running build_py
creating build
creating build/lib.linux-x86_64-2.7
creating build/lib.linux-x86_64-2.7/h5py
copying h5py/ipy_completer.py -> build/lib.linux-x86_64-2.7/h5py
copying h5py/__init__.py -> build/lib.linux-x86_64-2.7/h5py
copying h5py/version.py -> build/lib.linux-x86_64-2.7/h5py
copying h5py/highlevel.py -> build/lib.linux-x86_64-2.7/h5py
creating build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/group.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/files.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/selections.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/__init__.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/filters.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/base.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/dims.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/datatype.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/dataset.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/selections2.py -> build/lib.linux-x86_64-2.7/h5py/_hl
copying h5py/_hl/attrs.py -> build/lib.linux-x86_64-2.7/h5py/_hl
creating build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_selections.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_group.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_h5.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_attrs.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_objects.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_slicing.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_h5t.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_datatype.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/__init__.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_dimension_scales.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_base.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_dataset.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_file.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_h5p.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_attrs_data.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/common.py -> build/lib.linux-x86_64-2.7/h5py/tests
copying h5py/tests/test_h5f.py -> build/lib.linux-x86_64-2.7/h5py/tests
running build_ext
skipping 'h5py/defs.c' Cython extension (up-to-date)
building 'h5py.defs' extension
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/h5py
x86_64-linux-gnu-gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -DH5_USE_16_API -I/home/govinda/h5py-2.3.1/lzf -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c h5py/defs.c -o build/temp.linux-x86_64-2.7/h5py/defs.o
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from h5py/api_compat.h:26,
                 from h5py/defs.c:342:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from h5py/defs.c:342:0:
h5py/api_compat.h:27:18: fatal error: hdf5.h: No such file or directory
 #include "hdf5.h"
                  ^
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
pythonpython-2.7installationinstallerh5py
45
Devil

Vous devez installer libhdf5-dev pour obtenir les fichiers d’en-tête requis. Juste courir

Sudo apt-get install libhdf5-dev

et il devrait l'installer et ses dépendances automatiquement.

Ne vous inquiétez pas pour l'avertissement NumPy, cela signifie simplement que les développeurs de packages utilisent une ancienne version de l'API, mais tout fonctionnera toujours.

78
MattDMo

Vous pouvez utiliser python-h5py .

Sudo apt-get installer python-h5py

Et ensuite, dans votre fichier Python, essayez:

importer h5py

21
KyungHoon Kim

Dans mon cas (Ubuntu 15.04), installer libhdf5-dev n'était pas suffisant.

Je devais courir:

HDF5_DIR=/usr/lib/x86_64-linux-gnu/hdf5/serial/ pip install h5py

pour le faire fonctionner.

14
vierja

Il est généralement préférable d'utiliser pip au lieu de l'installer manuellement, car pip installera également toutes les dépendances python. Vous auriez quand même besoin de vos fichiers d'en-tête. 

alors:

Sudo apt-get install libhdf5-dev
pip install h5py
3
Gx1sptDTDa

Je devais installer à la fois libhdf5-dev et cython3 (Ubuntu 18.04 sur le périphérique arm64, Python 3.5).

Sudo apt install libhdf5-dev
Sudo apt install cython3
0
Niklas