shift-scheduling | Python Scripts that apply Operations Research | Job Scheduling library

by lbiedma Python Version: Current License: MIT

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kandi X-RAY | shift-scheduling Summary

shift-scheduling is a Python library typically used in Data Processing, Job Scheduling, Pandas applications. shift-scheduling 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.

Suppose we have a place that needs to work 24/7, and we have a minimum amount of workers needed to run it on each quarter of day in the week (Monday from 0 to 6, Monday from 6 to 12, ... Sunday from 12 to 18, Sunday from 18 to 24). We have to create a shift schedule that is subject to certain constraints.

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Support

shift-scheduling has a low active ecosystem.

It has 39 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

shift-scheduling has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of shift-scheduling is current.

Quality

shift-scheduling has no bugs reported.

Security

shift-scheduling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

shift-scheduling 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

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

Create a WorkerProblem for each worker .

Get all kandi verified functions for this library.

shift-scheduling Key Features

No Key Features are available at this moment for shift-scheduling.

shift-scheduling Examples and Code Snippets

No Code Snippets are available at this moment for shift-scheduling.

Community Discussions

Trending Discussions on shift-scheduling

SQL rownumber by columngroup

QUESTION

SQL rownumber by columngroup

Asked 2017-Jan-29 at 13:26

Im trying to create a report of workactivities. Where the following conditions are set.

If one is absent on a subsequent date-range, then mark as same absence-group, else mark as new absence-group.

So, if I am absent on monday, tuesday, wednesday, then that is one group, marked by a 1.

If I am then at work on thursday, but absent again friday, than friday is marked with group2.

If i am still absent on the following monday then that is still group 2.

The example data provided, is the type of data I get from the shift-scheduling tables I have, apart from identifiers if a particular activity is absence or non-absence. There are of course more than one set of initials, on any given day, along with different types of activities and absenceactivities.

I've tried to supply a minimal working example of the input data and the desired outcome. Hopefully I can get some pointers on this.

...

ANSWER

Answered 2017-Jan-29 at 13:26

Using with (common table expression) and row_number() we can generate row numbers for partitions (Initials, activitytype) and (Initials).

By comparing those, we can group consecutive blocks by activity and number them using dense_rank().

To convert all 'Work' to 0 I just used a case expression in the final query.

rextester: http://rextester.com/AYR27547

Source https://stackoverflow.com/questions/41920847

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

Vulnerabilities

No vulnerabilities reported

Install shift-scheduling

You can download it from GitHub.
You can use shift-scheduling 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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