longtail | Longtail transforms RV from the given empirical distribution | Data Visualization library

by Mottl Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | longtail Summary

longtail is a Python library typically used in Analytics, Data Visualization applications. longtail 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.

Longtail transforms RV from the given empirical distribution to the standard normal distribution.

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Quality

Security

License

Reuse

Support

longtail has a low active ecosystem.

It has 4 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

longtail has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of longtail is current.

Quality

longtail has no bugs reported.

Security

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

License

longtail 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

longtail 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.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Plots distribution probability distribution
Fit the model
Fit distributions to a given distribution

Get all kandi verified functions for this library.

longtail Key Features

No Key Features are available at this moment for longtail.

longtail Examples and Code Snippets

No Code Snippets are available at this moment for longtail.

Community Discussions

Trending Discussions on longtail

Trying to loop through dataframe and append a value to a list, but for loops aren't working

Spark - Change value of records which belong to the long tail in a Dataset

how to stop text overlapping in nested list

QUESTION

Trying to loop through dataframe and append a value to a list, but for loops aren't working

Asked 2020-Aug-09 at 19:19

Here's a brief look at my data

...

ANSWER

Answered 2020-Aug-08 at 20:46

Here is an approach using dplyr, tidyr, and stringr to make a long data table by pivoting your year columns.

Source https://stackoverflow.com/questions/63318887

QUESTION

Spark - Change value of records which belong to the long tail in a Dataset

Asked 2018-Jun-22 at 18:07

I am trying to solve a data cleaning step in a Machine Learning problem where I should group all the elements in the long tail in a common category named "Others". For example, I have a dataframe like this:

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ANSWER

Answered 2018-Jun-22 at 18:07

This is the correct syntax :

Source https://stackoverflow.com/questions/50993164

QUESTION

how to stop text overlapping in nested list

Asked 2018-Feb-08 at 00:55

I have a responsive taxonomic key using dot leaders and nested ordered lists. This works great when 'a' and 'b' are nested, but when I add 'c', 'd' etc. the content becomes overlapped. The overlapping seems to occur only between 'a' and 'b', c seems not to do it and I cannot figure out why. A picture of what I am trying to achieve can be seen

Thanks in advance!

...

ANSWER

Answered 2018-Feb-08 at 00:54

It's due to that negative margin-top value for .list .list-item

If you set that to 0, nothing overlaps.

Source https://stackoverflow.com/questions/48675737

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

Vulnerabilities

No vulnerabilities reported

Install longtail

You can download it from GitHub.
You can use longtail 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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