Python package for the analysis of light curves from the ESA CHEOPS mission.
Use pip install pycheops-ultra to install.
See pycheops/examples/Notebooks for examples.
For discussion and announcements, please join the pycheops google group
See pycheops/docs/PyCheops_Cookbook.pdf for a guide to using pycheops.
See pycheops/examples/Notebooks for Jupyter notebook that illustrate the features of pycheops.
See Maxted et al. 2021 (arxiv:2111.08828) for a full description of the algorithms and assumptions used in pycheops.
Troubleshooting
Installation fails with “ModuleNotFoundError: No module named ‘pybind11’”
Run pip install pybind11 then try again
StarProperties(dataset.target) produces “Segmentation fault: 11”
You are running the wrong version of python, e.g., anaconda2 instead of anaconda3
“TypeError: ‘str’ object is not callable” in animate frames
Install “pillow”, e.g., conda install pillow.
“No matching distribution found for matplotlib>3,2 (from pycheops)”
This error message may appear when upgrading to pycheops version 0.8.0 or later. Two solutions have been found …
“conda update –all” then “pip install pycheops –upgrade”
“pip install matplotlib –upgrade” then “pip install pycheops –upgrade”
Installation fails with “ERROR: Could not build wheels for celerite2 which use PEP 517 and cannot be installed directly”
This error message may appear when upgrading to pycheops version 0.9.1 or later. The working solution is to install celerite2 prior to installing/ updating pycheops using:
git clone --recursive https://github.com/dfm/celerite2.git
cd celerite2
python -m pip install celerite2==0.0.1rc1
1 maintainer
Release files for pycheops-ultra 1.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pycheops_ultra-1.0.6.tar.gz | 15.7 MB | Details |
Release files / pycheops_ultra-1.0.6.tar.gz
| Download URL | pycheops_ultra-1.0.6.tar.gz |
|---|---|
| Size | 15.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e8677fff5e365c068965d0991406e2b0891aef6cdf174cdf72c6b968dc87b453
|
|
BLAKE2b-256 checksum How to use checksums |
1cc2d446796174984013dd4aff20bae9dcb3c28142af2210ab9c667404152bff
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.10
|
