lightkurve | friendly package for Kepler & TESS time series analysis | Time Series Database library

by KeplerGO Python Version: v2.0b4 License: MIT

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | lightkurve Summary

lightkurve is a Python library typically used in Database, Time Series Database applications. lightkurve has no vulnerabilities, it has a Permissive License and it has low support. However lightkurve has 45 bugs and it build file is not available. You can download it from GitHub.

A friendly package for Kepler & TESS time series analysis in Python.

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Quality

Security

License

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Support

lightkurve has a low active ecosystem.

It has 220 star(s) with 93 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 86 open issues and 359 have been closed. On average issues are closed in 28 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of lightkurve is v2.0b4

Quality

lightkurve has 45 bugs (2 blocker, 0 critical, 32 major, 11 minor) and 238 code smells.

Security

lightkurve has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lightkurve code analysis shows 0 unresolved vulnerabilities.

There are 6 security hotspots that need review.

License

lightkurve is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

lightkurve releases are available to install and integrate.

lightkurve has no build file. You will be need to create the build yourself to build the component from source.

lightkurve saves you 5772 person hours of effort in developing the same functionality from scratch.

It has 12065 lines of code, 864 functions and 74 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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lightkurve Key Features

No Key Features are available at this moment for lightkurve.

lightkurve Examples and Code Snippets

No Code Snippets are available at this moment for lightkurve.

Community Discussions

Trending Discussions on lightkurve

Lightkurve nan values after bin light curve

Python: Create subplots with plots generated by a "class"

How to upgrade python on mac if multiple versions (including upgraded version) are already installed?

How to plot a star from TESScut to the right place on the sky using Python (and not with a ~10 degree error)?

Photutils Source Detection doesnt work for small pic, works for large, why?

QUESTION

Lightkurve nan values after bin light curve

Asked 2021-Mar-18 at 19:42

I am using lightkurve 2.0.2 library with Python 3.8.5 and astropy 4.2 for processing exoplanet transits. However when I want to bin light curve to fixed number of points, all values in light_curve.flux except first two are nan. What I am doing wrong?

...

ANSWER

Answered 2021-Mar-18 at 19:42

In your case, binning is done based on the time data of the fold variable. Let's have a look at the data:

Source https://stackoverflow.com/questions/66533025

QUESTION

Python: Create subplots with plots generated by a "class"

Asked 2020-Oct-27 at 00:47

I know what i want to do but I'm not shure how to make this question.

In my code I'm using lightkurve package, wich has a class (lightkurve.lightcurve.TessLightCurve) that has a method (plot) that plots the content of a variable. The "plot" method uses matplotlib.

In this way, I'm able to plot two indeppendent figures like the followling:

...

ANSWER

Answered 2020-Oct-26 at 21:26

Looks like the function lightkurve.lightcurve.TessLightCurve.plot() takes an argument ax= to instruct which subplot to use.

Source https://stackoverflow.com/questions/64543204

QUESTION

How to upgrade python on mac if multiple versions (including upgraded version) are already installed?

Asked 2020-Sep-25 at 09:11

I upgraded pip using the command pip3 install --upgrade pip; then, the following was printed in the terminal window:

...

ANSWER

Answered 2020-Sep-25 at 07:23

The output you show from:

Source https://stackoverflow.com/questions/64045780

QUESTION

How to plot a star from TESScut to the right place on the sky using Python (and not with a ~10 degree error)?

Asked 2019-Apr-03 at 18:04

I would like to plot TESS measurements of Beta Dor, using data from TESScut. In the Gaia DR2 archive I look up RA and DEC values of Beta Dor, I get:

...

ANSWER

Answered 2019-Apr-03 at 18:04

This issue stems from a subtlety in the way matplotlib handles WCS projections.

WCSAxes, which creates the WCS projection for maplotlib plots does not take into account SIP distortions in the WCS (because it uses wcs.wcs_world2pix rather than wcs.all_world2pix).

Often this doesn’t matter that much, however there are two factors that can make it matter a lot when displaying TESScut cutouts. The first is that the TPFs that TESScut produces come with the original WCS information from the full-frame image adjusted for the position of the cutout. This means that unlike the WCS information in TESS pipeline TPFs, the WCS information in TESScut TPFS includes a full complement of SIP distortions, which are being ignored by matplotlib. The second factor in how accurate the displayed coordinates will be is where on the TESS CCD the source falls. Because the TESS field of view is large, at the edges of a full-frame image the difference made by ignoring the SIP distortions can be on the order of 15 pixels.

This particular source is very much on the edge of that FFI so the SIP distortions will make quite a large difference:

There are two options for handling this problem:

Don't use the matplotlib projection option directly, and instead move everything into pixel space, manually calling wcs.all_world2pix or wcs.allpix2world as required.
Create a new WCS for the cutout that does not include SIP distortions (which will be fine because the cutout is small enough to not really need them). Here is a Jupyter notebook that describes one way to make this new WCS for the cutout: https://github.com/ceb8/tessworkshop_wcs_hack/blob/master/tesscut_wcs_hack.ipynb.

Source https://stackoverflow.com/questions/55422310

QUESTION

Photutils Source Detection doesnt work for small pic, works for large, why?

Asked 2018-Aug-27 at 12:21

I am trying to detect stars/astronomical objects on a picture. This is the picture where I can do it well, as outlined below:

Following the advice given on this site I have this code:

...

ANSWER

Answered 2018-Aug-27 at 12:21

With box_size=4 I have this result:

I had to install these modules before running your script in jupyter notebook:

Source https://stackoverflow.com/questions/52037492

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lightkurve

You can download it from GitHub.
You can use lightkurve like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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