Pre-release
This release is a pre-release and may not be stable for production use.
portrait
Observation metrics for periodic events
A Python package to compute and visualize observation metrics for periodic events.
In Astronomy, portrait is useful to answer the following questions:
- How much of an orbit with period $P$ has been observed given certain observation times? (tutorial)
- What period $P$ matches with this list of events? (tutorial)
- How a certain target must be observed to cover all orbits with periods lower than $P$ days?
Documentation at portrait.readthedocs.io
Example
Given the range of periods you want to cover, here is how to compute the amout of phase covered by your observation times
from portrait import coverage
time = ... # your observation times
periods = np.linspace(0.1, 10, 2000)
covered = coverage(times)(periods)
And plotting it with matplotlib
import matplotlib.pyplot as plt
plt.subplot(111, xlabel="periods", ylabel="coverage")
plt.plot(periods, covered, c="0.5")
Installation
pip install portrait
Metadata
Release files for portrait 0.0.5b0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| portrait-0.0.5b0.tar.gz | 168.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| portrait-0.0.5b0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 173.8 kB
Release files / portrait-0.0.5b0.tar.gz
| Download URL | portrait-0.0.5b0.tar.gz |
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| Size | 168.8 kB |
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Release files / portrait-0.0.5b0-py3-none-any.whl
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| Size | 5.0 kB |
| Tags | Python 3 |
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twine/5.0.0 CPython/3.12.3
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