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bump version to 0.2.4rc1; [skip-tests]
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ywx649999311 committed Dec 28, 2020
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4 changes: 2 additions & 2 deletions README.md
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![tests](https://github.com/ywx649999311/EzTao/workflows/tests/badge.svg)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ywx649999311/EzTao/v0.2.4rc0?filepath=docs/notebooks)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ywx649999311/EzTao/v0.2.4rc1?filepath=docs/notebooks)
[![Documentation Status](https://readthedocs.org/projects/eztao/badge/?version=latest)](https://eztao.readthedocs.io/en/latest/)
# EzTao (易道)
**EzTao** is a toolkit for conducting AGN time-series/variability analysis, mainly utilizing the continuous-time auto-regressive moving average model (CARMA)
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__Note:__ How well the input and best-fit PSD match is up to how good the best-fit parameters are, which is highly influenced by the quality of the input time series.

For more examples, please check out the [online documentation](https://eztao.readthedocs.io/en/latest/) or run the tutorial notebooks at ->
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ywx649999311/EzTao/v0.2.4rc0?filepath=docs/notebooks).
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ywx649999311/EzTao/v0.2.4rc1?filepath=docs/notebooks).

### Development
`poetry` is used to solve dependencies and to build/publish this package. Below shows how setup the environment for development (assuming you already have `poetry` installed on your machine).
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2 changes: 1 addition & 1 deletion docs/index.rst
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------------
**EzTao** can be installed with `pip`_ using::

pip install EzTao
pip install eztao


.. raw:: html
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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "eztao"
version = "0.2.4rc0"
version = "0.2.4rc1"
description = "A toolkit for Active Galactic Nuclei (AGN) time-series analysis."
authors = ["Weixiang Yu <wy73@drexel.edu>"]
readme = "README.md"
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1 change: 1 addition & 0 deletions src/eztao/viz/mpl_viz.py
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"""

import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import celerite
from eztao.carma.CARMATerm import *
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