H5View: a light, h5py/IPython-friendly HDF5 viewer in text mode
This light Python module lets you explore interactively any HDF5 file in a Python console or in IPython. Pretty print the file structure and get the shape, data type, and size of any dataset. Tab completion works in IPython to let you access any subgroup or dataset.
H5View is based on the h5py package.
Usage
import h5view
with h5view.open('test.h5') as f:
# display the whole structure of the file
print(f)
# access a group and display its information
print(f.MyGroup1.SubGroup)
# access a dataset
X = f.MyGroup2.MyDataset[0,:]
# access an attribute
val = f.MyGroup3.myAttr
# access to the corresponding h5py object
item = f.MyDataset.item()
# get a descendant from its relative path
print(f.MyGroup4.get('MySubgroup/MyDataset'))
In IPython, tab completion shows all direct children (groups, datasets, attributes) of the file or any item (group/dataset), making it quite convenient to interactively explore a HDF5 file.
Installation
The code is only in h5view.py. The create.py file is used to create
a test HDF5 file.
Download the package and type in a shell (a test HDF5 file is created automatically in the same folder):
$ python h5view.py
Let's display the file.
<HDF5 file "/home/me/h5view/test.h5", 50.2 KB>
/
* MyAttr: 23.0
/MyGroup1
* MyAttr2: my string
/MyGroup1/MyGroup11
/MyGroup1/MyGroup11/MyGroup111
/MyGroup1/MyGroup11/MyGroup111/MyDataset2: shape (2, 3, 4, 5), dtype "float32", 480 B
/MyGroup2
/MyGroup2/MyDataset1: shape (100, 100), dtype "int32", 39.1 KB
Now, let's access some attributes, groups, and datasets.
23.0
/MyGroup2
/MyGroup2/MyDataset1: shape (100, 100), dtype "int32", 39.1 KB
[[42 42]
[42 42]]
[ 0. 0.]