PyAutoCTI | PyAutoCTI : Charge Transfer Inefficiency Calibration
kandi X-RAY | PyAutoCTI Summary
kandi X-RAY | PyAutoCTI Summary
PyAutoCTI is a Python library. PyAutoCTI has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
PyAutoCTI: Charge Transfer Inefficiency Calibration
PyAutoCTI: Charge Transfer Inefficiency Calibration
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Quality
Security
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Support
PyAutoCTI has a low active ecosystem.
It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 6 open issues and 8 have been closed. On average issues are closed in 14 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of PyAutoCTI is 2023.7.7.3
Quality
PyAutoCTI has no bugs reported.
Security
PyAutoCTI has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
PyAutoCTI is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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PyAutoCTI releases are available to install and integrate.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed PyAutoCTI and discovered the below as its top functions. This is intended to give you an instant insight into PyAutoCTI implemented functionality, and help decide if they suit your requirements.
- Read a FITS file from a FITS file
- Generate a rotation matrix from CCD data
- Create a quadrant
- Creates a new mask
- Create an array of charge injection data for a CCDPhase
- Return pre - calculated pre - calculated pre - calculated pre - calculated data
- Generates a list of median values for each column
- Generate a list of injection norm limits
- Creates an ImagingCI from the given parameters
- Plot matplotlib figure
- Calculates a list of median values for each region
- Generate a list of median values from an array
- Remove CCDI from image
- Convert a 2D array to a 2D array
- Extract a 2D array from an array
- Calculate the median of each region in pixels
- Create a mask from a cosmic ray map
- Create a 2D Dataset from a dictionary
- Returns a Layout2DCI
- Creates an ImagingCI
- Add CTI to image
- Plot 1D dataset
- Generate a cosmic ray map
- Output quadrants to a file
- Creates a Layout2D from a CCD and quadrant ID
- Add a Cti
Get all kandi verified functions for this library.
PyAutoCTI Key Features
No Key Features are available at this moment for PyAutoCTI.
PyAutoCTI Examples and Code Snippets
No Code Snippets are available at this moment for PyAutoCTI.
Community Discussions
No Community Discussions are available at this moment for PyAutoCTI.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyAutoCTI
You can download it from GitHub.
You can use PyAutoCTI 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.
You can use PyAutoCTI 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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