QuartiCal-Visualiser
The QuartiCal-Visualiser is a convenient tool for visualising the gain solutions produced by QuartiCal. It also allows for interactive flagging of those solutions.
Installation
QuartiCal-Visualiser can be installed from PyPI by running
pip install qcvisualiser. Alternatively, developers can install it directly
from source using either Poetry or pip.
Usage
QuartiCal-Visualiser can be run from the command line using
govisualise path/to/gain. You can then navigate to localhost:5006 in
your browser to interact with the gains.
Options
At present, QuartiCal-Visualiser has limited options. All of them can be
displayed by running govisualise --help.
Remote Viewing
As QuartiCal starts a web server, it is possible to interact with it remotely.
This can be accomplished by port-forwarding e.g.
ssh -L 5006:localhost:5006 user@remote before proceeding as detailed above.
1 maintainer
Metadata
1 maintainer
Release files for qcvisualiser 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qcvisualiser-0.0.3.tar.gz | 8.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qcvisualiser-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.6 kB
Release files / qcvisualiser-0.0.3.tar.gz
| Download URL | qcvisualiser-0.0.3.tar.gz |
|---|---|
| Size | 8.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Release files / qcvisualiser-0.0.3-py3-none-any.whl
| Download URL | qcvisualiser-0.0.3-py3-none-any.whl |
|---|---|
| Size | 10.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
