pandas-redistrict | Redistrict dataframes and port old district data

by correctiv Python Version: 0.0.3 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions Vulnerabilities Install Support

kandi X-RAY | pandas-redistrict Summary

pandas-redistrict is a Python library. pandas-redistrict 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 pandas-redistrict' or download it from GitHub, PyPI.

Redistrict dataframes and port old district data to the current state

Support

Quality

Security

License

Reuse

Support

pandas-redistrict has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

pandas-redistrict has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pandas-redistrict is 0.0.3

Quality

pandas-redistrict has no bugs reported.

Security

pandas-redistrict has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pandas-redistrict 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

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

Returns a pandas DataFrame with distributed grouped data
Check if a change is affected
Return the data dict for a given kind
Restrict pandas dataframe
Apply a list of changes to a DataFrame
Merge series together
Apply a change
Applies the merges to the dataframe
Generate a pandas DataFrame with partitioned data
Splits the data into a pandas DataFrame
Returns a pandas DataFrame with the rows of the given partition
R District a row of data
Return all ids affected by the patch
Iterate over the rows of a row
Find the version string
Read file contents
Read the content of a file

Get all kandi verified functions for this library.

pandas-redistrict Key Features

No Key Features are available at this moment for pandas-redistrict.

pandas-redistrict Examples and Code Snippets

pandas-redistrict,Usage

Python

Lines of Code : 46

License : Permissive (MIT)

Copy

>>> df  # Values indexed by German district identifiers
value1  value2
AGS
05354       4       5
05313       5       6
05334       6       7
15154       8       9
15159      10      11
15151      12      13
15082      13      14

>>>

pandas-redistrict

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

pip install pandas-redistrict

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pandas-redistrict

You can install using 'pip install pandas-redistrict' or download it from GitHub, PyPI.
You can use pandas-redistrict 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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