Xcalibu
Xcalibu is a python library to manage calibrations tables or polynomia. It includes a PyTango device server in order to optionaly run it as a server.
xcalibu.py : python library Xcalibuds.py : PyTango device server
Xcalibu name comes from the first use of this library to deal with undulators calibrations at ESRF.
- https://en.wikipedia.org/wiki/Undulator
- https://en.wikipedia.org/wiki/European_Synchrotron_Radiation_Facility
installation
Available on PyPi or anaconda.org
or pip install . or pip install -e .
usage
to plot: ./xcalibu.py -p
to debug:./xcalibu.py -d10
plot a file:./xcalibu.py -p examples/xcalibu_calib_poly.calib
Examples
TABLE + INTERPOL
import numpy
import xcalibu
calib = xcalibu.Xcalibu()
calib.set_calib_file_name("mycalib.calib")
calib.set_calib_type("TABLE")
calib.set_reconstruction_method("INTERPOLATION")
calib.set_calib_time("1234.5678")
calib.set_calib_name("CAL")
calib.set_calib_description("dynamic calibration created for demo")
calib.set_raw_x(numpy.linspace(1, 10, 10))
calib.set_raw_y(numpy.array([3, 6, 5, 4, 2, 5, 7, 3, 7, 4]))
calib.plot()
calib.save() # create a file named `mycalib.calib` in your current directory.
TABLE + POLYFIT
import numpy
import xcalibu
calib = xcalibu.Xcalibu()
calib.set_calib_file_name("mycalib.calib")
calib.set_calib_type("TABLE")
calib.set_reconstruction_method("POLYFIT")
calib.set_calib_time("1234.5678")
calib.set_calib_name("CAL")
calib.set_calib_description("dynamic calibration created for demo")
calib.set_raw_x(numpy.linspace(1, 10, 15))
calib.set_raw_y(numpy.array([4.1, 3.5, 3.6, 4.2, 4.5, 4, 3.9, 3.8, 4.5, 4.6, 6, 6.2, 4.7, 5, 4]))
calib.set_fit_order(6)
calib.fit()
calib.plot()
POLY
% cat mycalib.calib
# XCALIBU CALIBRATION
CALIB_NAME=CAL
CALIB_TYPE=TABLE
CALIB_TIME=1234.5678
CALIB_DESC=dynamic calibration created for demo
CAL[1.000000] = 3.000000
CAL[2.000000] = 6.000000
CAL[3.000000] = 5.000000
CAL[4.000000] = 4.000000
CAL[5.000000] = 2.000000
CAL[6.000000] = 5.000000
CAL[7.000000] = 7.000000
CAL[8.000000] = 3.000000
CAL[9.000000] = 7.000000
CAL[10.000000] = 4.000000
command line usage
Options: -h: help -p: plot -d: debug
-t type -r reconstruction_method -k kind of interpolation -n name
example: ./xcalibu.py -n calinou -t TABLE -r INTERPOLATION -k cubic examples/U32a_1_table.dat -p
Metadata
Release files for xcalibu 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| xcalibu-1.0.1.tar.gz | 59.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xcalibu-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 121.4 kB
Release files / xcalibu-1.0.1.tar.gz
| Download URL | xcalibu-1.0.1.tar.gz |
|---|---|
| Size | 59.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d5f786b17569e4ed04cbcf6e10adf3fa0edd3d4ed292cb0f1b1e954d9fb1b2d1
|
|
BLAKE2b-256 checksum How to use checksums |
c7eee47131b32850e2dca62e816b5b0c74ff0cfab841b46e8d8048b61e4d8091
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
Release files / xcalibu-1.0.1-py3-none-any.whl
| Download URL | xcalibu-1.0.1-py3-none-any.whl |
|---|---|
| Size | 61.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
87bc43423064a71d01696e714422b7fc7373eb01f6f04fed8ab83ff0ac201696
|
|
BLAKE2b-256 checksum How to use checksums |
a7434c69ce14314304c71c89594f07694995e5d4acd8b9b497ade8ed0c1d53e1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
Security for xcalibu 1.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.