rle-array | Run-length encoded arrays for pandas
kandi X-RAY | rle-array Summary
kandi X-RAY | rle-array Summary
rle-array is a Python library. rle-array 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.
Run-length encoded arrays for pandas.
Run-length encoded arrays for pandas.
Support
Quality
Security
License
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Support
rle-array has a low active ecosystem.
It has 20 star(s) with 1 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 2 have been closed. On average issues are closed in 47 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of rle-array is current.
Quality
rle-array has no bugs reported.
Security
rle-array has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
rle-array 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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rle-array 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.
Top functions reviewed by kandi - BETA
kandi has reviewed rle-array and discovered the below as its top functions. This is intended to give you an instant insight into rle-array implemented functionality, and help decide if they suit your requirements.
- Return elements from the RLE array
- Return the indices of the kernel for the given positions
- Compress data and positions
- Return the length of the sequence
- Detects if scalars are identical
- Take values from positions and return them
- Return the values for factorization
- Performs in - place repeats
- Decompress data into a numpy array
- Check if dtype is an RLE type
- Return a new RLEArray with the dropped values removed
- Remove missing values from data
- Calculate the lengths of positions
- Cast this array to a given dtype
- Verify that the container is empty
- Verify that the container is not empty
- Create a reference node
- Perform setup
- Setup the main dataframe
Get all kandi verified functions for this library.
rle-array Key Features
No Key Features are available at this moment for rle-array.
rle-array Examples and Code Snippets
No Code Snippets are available at this moment for rle-array.
Community Discussions
No Community Discussions are available at this moment for rle-array.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rle-array
You can download it from GitHub.
You can use rle-array 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 rle-array 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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