tdigest | t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed envir

by CamDavidsonPilon Python Version: 0.5.2.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tdigest Summary

tdigest is a Python library typically used in Big Data, Spark, Hadoop applications. tdigest has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install tdigest' or download it from GitHub, PyPI.

t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark

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Quality

Security

License

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Support

tdigest has a low active ecosystem.

It has 350 star(s) with 48 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 21 have been closed. On average issues are closed in 98 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tdigest is 0.5.2.2

Quality

tdigest has 0 bugs and 0 code smells.

Security

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

tdigest code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tdigest 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

tdigest releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed tdigest and discovered the below as its top functions. This is intended to give you an instant insight into tdigest implemented functionality, and help decide if they suit your requirements.

Perform batch update
Calculate the centroids based on x
Returns the centroids of x
Compress the covariance matrix
Adds a centroid to the C
Compute the percentile of the centroid
Update the centroid
Return the threshold for the filter
Calculates the digest of each partition
Performs batch update
Compute the weighted mean of the distribution
Compute the percentile of the distribution
Read file contents

Get all kandi verified functions for this library.

tdigest Key Features

No Key Features are available at this moment for tdigest.

tdigest Examples and Code Snippets

No Code Snippets are available at this moment for tdigest.

Community Discussions

Trending Discussions on tdigest

Is there a way to sort percentile aggregation by 'order' field is Elasticsearch?

QUESTION

Is there a way to sort percentile aggregation by 'order' field is Elasticsearch?

Asked 2021-Jan-05 at 09:32

I'm trying to order sub aggregation of percentile by order field (when I run it on avg/sum aggregation it works)

...

ANSWER

Answered 2021-Jan-05 at 09:32

The documentation contains guides on how to sort by multi-value aggregation https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-terms-aggregation.html#search-aggregations-bucket-terms-aggregation-order

Ordering the buckets by multi value metrics sub-aggregation (identified by the aggregation name):

Source https://stackoverflow.com/questions/65575789

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

Vulnerabilities

No vulnerabilities reported

Install tdigest

tdigest is compatible with both Python 2 and Python 3.

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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