Reputation: 75
I am trying to create an HDF5 file with two datasets, 'data' and 'label'. When I tried to access the said file, however, I got an error as follows:
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\pydevd.py", line 1664, in <module>
main()
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\pydevd.py", line 1658, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\pydevd.py", line 1068, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/pycharm/Input_Pipeline.py", line 140, in <module>
data_h5 = f['data'][:]
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "C:\Users\u20x47\PycharmProjects\PCL\venv\lib\site-packages\h5py\_hl\group.py", line 177, in __getitem__
oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "h5py\_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py\_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py\h5o.pyx", line 190, in h5py.h5o.open
ValueError: Not a location (invalid object ID)
Code used to create the dataset:
h5_file.create_dataset('data', data=data_x, compression='gzip', compression_opts=4, dtype='float32')
h5_file.create_dataset('label', data=label, compression='gzip', compression_opts=1, dtype='uint8')
data_x an array of arrays. Each element in data_x is a 3D array of 1024 elements.
label is an array of arrays as well. Each element is a 1D array of 1 element.
Code to access the said file:
f = h5_file
data_h5 = f['data'][:]
label_h5 = f['label'][:]
print (data_h5, label_h5)
How can I fix this? Is this a syntax error or a logical one?
Upvotes: 1
Views: 4070
Reputation: 2699
I was unable to reproduce the error. Maybe you forgot to close the file or you change the content of your h5 during execution.
Also you can use print h5_file.items()
to check the content of your h5 file
Tested code:
import h5py
import numpy as np
h5_file = h5py.File('test.h5', 'w')
# bogus data with the correct size
data_x = np.random.rand(16,8,8)
label = np.random.randint(100, size=(1,1),dtype='uint8')
#
h5_file.create_dataset('data', data=data_x, compression='gzip', compression_opts=4, dtype='float32')
h5_file.create_dataset('label', data=label, compression='gzip', compression_opts=1, dtype='uint8')
h5_file.close()
h5_file = h5py.File('test.h5', 'r')
f = h5_file
print f.items()
data_h5 = f['data'][...]
label_h5 = f['label'][...]
print (data_h5, label_h5)
h5_file.close()
Produces
[(u'data', <HDF5 dataset "data": shape (16, 8, 8), type "<f4">), (u'label', <HDF5 dataset "label": shape (1, 1), type "|u1">)]
(array([[[4.36837107e-01, 8.05664659e-01, 3.34415197e-01, ...,
8.89135897e-01, 1.84097692e-01, 3.60782951e-01],
[8.86442482e-01, 6.07181549e-01, 2.42844030e-01, ...,
[4.24369454e-01, 6.04596496e-01, 5.56676507e-01, ...,
7.22884715e-01, 2.45932683e-01, 9.18777227e-01]]], dtype=float32), array([[25]], dtype=uint8))
Upvotes: 2