arpes | Mirror of PyARPES
kandi X-RAY | arpes Summary
kandi X-RAY | arpes Summary
arpes is a Python library. arpes has no bugs, it has no vulnerabilities, it has build file available and it has low support. However arpes has a Non-SPDX License. You can download it from GitHub.
Mirror of PyARPES (gitlab/lanzara-group/python-arpes) the open source ARPES analysis framework
Mirror of PyARPES (gitlab/lanzara-group/python-arpes) the open source ARPES analysis framework
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Quality
Security
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Support
arpes has a low active ecosystem.
It has 12 star(s) with 7 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 3 have been closed. On average issues are closed in 33 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of arpes is current.
Quality
arpes has 0 bugs and 0 code smells.
Security
arpes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
arpes code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
arpes has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
arpes releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
It has 24842 lines of code, 1604 functions and 211 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed arpes and discovered the below as its top functions. This is intended to give you an instant insight into arpes implemented functionality, and help decide if they suit your requirements.
- Tool handler
- Display the object as HTML
- Create a function to update the colormap
- Add cursor lines to the figure
- Handler for band tool
- Wrapper for tqdm_notebook
- Load the app
- Fit a banded band
- Unpack band results
- Explorer plot
- Fit bands based on band_description
- Plot a stack dispersion plot
- Handles the tool
- Generate kspace tool
- Plots the magnitude of the circular regions of the data
- Normalize Fermi distribution using Fermi distribution
- Convenience function to convert data from two points
- Generate a flat stack plot
- Plots overlapped stacks
- Plot a scatter plot
- Plot a spatial reference map
- Handler for path tool
- Plots cut dispersion plot
- Handler for the tool
- Handle the tool handler
- Load a single FITS file
Get all kandi verified functions for this library.
arpes Key Features
No Key Features are available at this moment for arpes.
arpes Examples and Code Snippets
No Code Snippets are available at this moment for arpes.
Community Discussions
Trending Discussions on arpes
QUESTION
Scraped Javascript JSON convert to Python JSON
Asked 2021-Apr-11 at 10:58
I have two scraped strings I need convert to python JSON. edges and nodes.
...ANSWER
Answered 2021-Apr-11 at 10:58It's javascript object, so calling directly json.loads
will not work. One "hacky" way is to convert all '
to "
and quote dict keys:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install arpes
You can download it from GitHub.
You can use arpes 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 arpes 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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