dppd | Code style ]

by TyberiusPrime Python Version: 0.27 License: MIT

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

kandi X-RAY | dppd Summary

dppd is a Python library. dppd 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 dppd' or download it from GitHub, PyPI.

| Code style | ] Dppd is a python dplyr clone. It allows you to use code like this. Briefly, it uses a data-manipulater instance (dp above) together with a proxied reference to the latest created DataFrame (the X above) to achive for pandas what dpylr's non-standard-evaluation based verbs does for R. Please see our full documentation at for more details and a list of the supported verbs. Also check out dppd_plotnine.

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Quality

Security

License

Reuse

Support

dppd has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 0 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dppd is 0.27

Quality

dppd has no bugs reported.

Security

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

License

dppd 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

dppd releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

Select a DataFrame from a DataFrame
Parse a column specification
Parses a column specification from a string
Helper function to parse column specification
Concatenate a Pandas DataFrame
Return unique elements in a sequence
Mutate a DataFrame
Return a pandas DataFrame grouped by column_spec
Return a Pandas DataFrame grouped by columns
Mutate a Pandas DataFrame
Extract parameters from groupby
Register method methods as verbs
Register a property
Return a DataFrame with the given groupby
Unselect columns from a DataFrame
Group DataFrame by groupby
Yield key - value pairs from a DataFrame
Get the md5 hash of a file
Drop DataFrame by groupby
Returns a pandas dataframe
Wrapper around pandas DataFrame
Return a DataFrame containing only the distinct rows in the dataframe
Sort a DataFrame
Return a DataFrame with the columns grouped by groupby

Get all kandi verified functions for this library.

dppd Key Features

No Key Features are available at this moment for dppd.

dppd Examples and Code Snippets

dppd

Python

Lines of Code : 9

License : Permissive (MIT)

Copy

   >>> from plotnine.data import mtcars
   >>> from dppd import dppd
   >>> dp, X = dppd()
   >>> dp(mtcars).mutate(kwh = X.hp * 0.74).groupby('cyl').filter_by(X.kwh.rank() < 2).ungroup().pd
      cyl

Community Discussions

No Community Discussions are available at this moment for dppd.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install dppd

You can install using 'pip install dppd' or download it from GitHub, PyPI.
You can use dppd 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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