https://github.com/danporter/hdf_scan_inspector
Simple, lightweight tkGUIs for inspecting the structure of HDF and Nexus files.
https://github.com/danporter/hdf_scan_inspector
Last synced: about 1 year ago
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Simple, lightweight tkGUIs for inspecting the structure of HDF and Nexus files.
- Host: GitHub
- URL: https://github.com/danporter/hdf_scan_inspector
- Owner: DanPorter
- Created: 2024-02-28T11:52:53.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-09-05T11:12:00.000Z (over 1 year ago)
- Last Synced: 2025-02-08T09:45:38.293Z (over 1 year ago)
- Language: Python
- Size: 225 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# hdf_scan_inspector
Simple, lightweight tkGUIs for inspecting the structure of HDF and Nexus files.
**Version 0.1**
| By Dan Porter |
|----------------------|
| Diamond Light Source |
| 2024 |
#### To run viewer:
```commandline
$ python -m hdf_scan_inspector 'file.hdf'
```
or in python:
```python
from hdf_scan_inspector import HDFViewer
HDFViewer('file.nxs')
from hdf_scan_inspector import dataset_selector
address = dataset_selector('file.nxs', 'Select your favourite dataset')
import h5py
with h5py.File('file.nxs', 'r') as hdf:
dataset = hdf.get(address)
data = dataset[()]
print(dataset)
print(data)
```
#### Requires:
*h5py, tkinter, sv_ttk*
#### HDFViewer:
Display cascading hierarchical data within HDF file in ttk GUI
```python
HDFViewer("filename.h5")
```
Simple ttk interface for browsing HDF file structures.
- Click Browse or File>Select File to pick a HDF, H5 or NeXus file
- Collapse and expand the tree to view the file structure
- Search for addresses using the search bar
- Click on a dataset or group to view stored attributes and data
#### HDFSelector
HDF Dataset Selector - simple ttk interface to view file structure and select an address
```python
address = HDFSelector("hdf_file.h5").show()
```
Upon opening, the GUI will wait for until a dataset address is selected.
- Double-click on a dataset to return the address of that dataset.
- start typing on the keyboard to search through dataset names