pyjanitor | Clean APIs for data

by ericmjl Python Version: v0.18.1 License: MIT

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

kandi X-RAY | pyjanitor Summary

pyjanitor is a Python library typically used in Data Science, Pandas applications. pyjanitor 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 pyjanitor' or download it from GitHub, PyPI.

Clean APIs for data cleaning. Python implementation of R package Janitor

Support

Quality

Security

License

Reuse

Support

pyjanitor has a low active ecosystem.

It has 629 star(s) with 121 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 89 open issues and 282 have been closed. On average issues are closed in 56 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyjanitor is v0.18.1

Quality

pyjanitor has 0 bugs and 0 code smells.

Security

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

pyjanitor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyjanitor 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

pyjanitor releases are available to install and integrate.

Deployable package is available in PyPI.

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

pyjanitor saves you 2277 person hours of effort in developing the same functionality from scratch.

It has 4976 lines of code, 344 functions and 82 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of pyjanitor

Get all kandi verified functions for this library.

pyjanitor Key Features

No Key Features are available at this moment for pyjanitor.

pyjanitor Examples and Code Snippets

No Code Snippets are available at this moment for pyjanitor.

Community Discussions

Trending Discussions on pyjanitor

Merge pandas DataFrames by partial match in datetime column

Preserve original column names

QUESTION

Merge pandas DataFrames by partial match in datetime column

Asked 2020-Feb-09 at 12:24

Hello good people of stackoverflow. I can't quite grasp the solution here, so please, help me out. Please, keep in mind that I'm quite a beginner at python, so please, keep it as simple as you can.

My company provides employees with transportation to and from work. There is a system in place that tracks when employee got on the bus and which bus the person got onto. Also we receive data from transportation company with information where and when employees were supposed to go as per planning(every employee books the spot in advance). Sometimes people don't book places, sometimes they get onto the wrong bus(not the route they booked) or at the wrong time. My goal is to find such people and provide a report.

Here is the sample of the data we receive from the transportation company

...

ANSWER

Answered 2020-Feb-09 at 12:24

You can do as follows.

In the code below, the first df is named as df_booking,the second df is named as df_actual & the SQL database as df_info.

Source https://stackoverflow.com/questions/60135792

QUESTION

Preserve original column names

Asked 2018-Nov-22 at 10:17

While renaming the dataframe, I need to preserve the original names. For e.g.

...

ANSWER

Answered 2018-Nov-22 at 10:17

Almost certainly your pyjanitor.clean_names function returns a copy of an input dataframe. Copying a dataframe is known to not copy arbitrary attributes assigned to an instance.

But, really, these original column headings don't belong to your pd.DataFrame instance since you can't use them directly for labeling or anything else.

My advice is to store as a separate variable. If you need to group with your dataframe, you can use a dictionary along with any additional meta data:

Source https://stackoverflow.com/questions/53427376

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

Vulnerabilities

No vulnerabilities reported

Install pyjanitor

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

Find more information at: