Time ranges with python

Related tags

Data Analysistimeranges
Overview

Discord

Badges
Build Python package semantic-release PyPI Read the Docs
Tests coverage pre-commit
Standards SemVer 2.0.0 Conventional Commits
Code Code style: black Imports: isort Checked with mypy
Repo GitHub issues GitHub stars GitHub license All Contributors Contributor Covenant

timeranges

Time ranges.

Read the Docs

Installation

pip

timeranges is available on pip:

pip install timeranges

GitHub

You can also install the latest version of the code directly from GitHub:

pip install git+git://github.com/MicaelJarniac/timeranges

Usage

For more examples, see the full documentation.

10:00" time_range = TimeRange(time(0), time(10)) # Check if these times are contained in `time_range` assert time(0) in time_range assert time(5) in time_range assert time(10) in time_range # Check if these times aren't contained in `time_range` assert time(10, 0, 1) not in time_range assert time(11) not in time_range assert time(20) not in time_range time_range_2 = TimeRange(time(15), time(20)) time_ranges = TimeRanges([time_range, time_range_2]) assert time(0) in time_ranges assert time(5) in time_ranges assert time(10) in time_ranges assert time(12) not in time_ranges assert time(15) in time_ranges assert time(17) in time_ranges assert time(20) in time_ranges assert time(22) not in time_ranges "> 
from datetime import time

from timeranges import TimeRange, TimeRanges, WeekRange, Weekday


# Create a `TimeRange` instance with the interval "0:00 -> 10:00"
time_range = TimeRange(time(0), time(10))

# Check if these times are contained in `time_range`
assert time(0) in time_range
assert time(5) in time_range
assert time(10) in time_range

# Check if these times aren't contained in `time_range`
assert time(10, 0, 1) not in time_range
assert time(11) not in time_range
assert time(20) not in time_range


time_range_2 = TimeRange(time(15), time(20))
time_ranges = TimeRanges([time_range, time_range_2])

assert time(0) in time_ranges
assert time(5) in time_ranges
assert time(10) in time_ranges
assert time(12) not in time_ranges
assert time(15) in time_ranges
assert time(17) in time_ranges
assert time(20) in time_ranges
assert time(22) not in time_ranges

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

More details can be found in CONTRIBUTING.

Contributors ✨

License

MIT

Created from cookiecutter-python-project.

Comments
  • fix: proper handling with empty structures

    fix: proper handling with empty structures

    As presented in https://github.com/tractian/tractian-python-sdk/issues/30#issuecomment-993901186,

    • empty dictionary in day_ranges means all days, with this, any datetime should return True in __contains__
    • empty list in time_ranges means all hours, with this, any datetime at the same weekday should return True in __contains__ The actual PR is a suggestion to this behavior works, which is not working properly.

    Examples of misleading behavior:

    • Datetime in a weekday with empty list as time_ranges image
    • Datetime not in a empty dict as day_ranges image
    opened by lucascust2 1
  • docs: add MicaelJarniac as a contributor for bug, code, doc, example, ideas, maintenance, projectManagement, review, tool, test

    docs: add MicaelJarniac as a contributor for bug, code, doc, example, ideas, maintenance, projectManagement, review, tool, test

    Add @MicaelJarniac as a contributor for bug, code, doc, example, ideas, maintenance, projectManagement, review, tool, test.

    This was requested by MicaelJarniac in this comment

    opened by allcontributors[bot] 0
  • Fix public API

    Fix public API

    On VS Code, if I type

    from timeranges import

    it doesn't auto-complete.

    Something about the way I'm "exporting" the public items on __init__.py isn't quite right.

    bug 
    opened by MicaelJarniac 0
  • Create a method for getting a fully-filled object

    Create a method for getting a fully-filled object

    Something like TimeRanges.full() that'd return TimeRanges([TimeRange()]), and WeekRange.full() that'd return WeekRange({Weekday.MONDAY: TimeRanges.full(), ...}) (with all days of the week).

    enhancement 
    opened by MicaelJarniac 0
  • Make `TimeRanges` and `WeekRange` behave more like native collections

    Make `TimeRanges` and `WeekRange` behave more like native collections

    TimeRanges could behave like a list, and WeekRange like a dict.

    https://docs.python.org/3/reference/datamodel.html#emulating-container-types

    • [ ] __bool__
    enhancement 
    opened by MicaelJarniac 1
  • Compare multiple times at once

    Compare multiple times at once 

    assert (time(...), time(...)) in TimeRange(...)
assert (time(...), time(...)) in TimeRanges(...)
assert (datetime(...), datetime(...)) in WeekRange(...)
    enhancement 
    opened by MicaelJarniac 0
Releases(v1.0.2)
Owner
Micael Jarniac
Micael Jarniac
GitHub Repository
A Python module for clustering creators of social media content into networks

sm_content_clustering A Python module for clustering creators of social media content into networks. Currently supports identifying potential networks

72 Dec 30, 2022
The micro-framework to create dataframes from functions.

The micro-framework to create dataframes from functions.

Stitch Fix Technology 762 Jan 07, 2023
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Lawrence Livermore National Laboratory 14 Aug 19, 2022
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis. You write a high level configuration file specifying your in

Blue Collar Bioinformatics 917 Jan 03, 2023
Instant search for and access to many datasets in Pyspark.

SparkDataset Provides instant access to many datasets right from Pyspark (in Spark DataFrame structure). Drop a star if you like the project. 😃 Motiv

Souvik Pratiher 31 Dec 16, 2022
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine

Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine Intro This repo contains the python/stan version of the Statistical Rethinking

Andrés Suárez 3 Nov 08, 2022
This module is used to create Convolutional AutoEncoders for Variational Data Assimilation

VarDACAE This module is used to create Convolutional AutoEncoders for Variational Data Assimilation. A user can define, create and train an AE for Dat

Julian Mack 23 Dec 16, 2022
Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities

Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities. This is aimed at those looking to get into the field of D

Joachim 1 Dec 26, 2021
Top 50 best selling books on amazon

It's a dashboard that shows the detailed information about each book in the top 50 best selling books on amazon over the last ten years

Nahla Tarek 1 Nov 18, 2021
PyChemia, Python Framework for Materials Discovery and Design

PyChemia, Python Framework for Materials Discovery and Design PyChemia is an open-source Python Library for materials structural search. The purpose o

Materials Discovery Group 61 Oct 02, 2022
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python

Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python This project is a good starting point for those who have little

Himanshu Kumar singh 2 Dec 04, 2021
Project: Netflix Data Analysis and Visualization with Python

Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut

Kathrin Hälbich 2 Feb 13, 2022
Data Analytics on Genomes and Genetics

Data Analytics performed on On genomes and Genetics dataset to predict genetic disorder and disorder subclass. DONE by TEAM SIGMA!

1 Jan 12, 2022
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database

Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database, using a set of "harvesters", whose job it

Battery Intelligence Lab 20 Sep 28, 2022
X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

Nguyễn Quang Huy 5 Sep 28, 2022
Hidden Markov Models in Python, with scikit-learn like API

hmmlearn hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and

2.7k Jan 03, 2023
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science

The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data a

Amir Ali 2 Jun 17, 2022
DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in cluste

Amazon Web Services - Labs 53 Dec 08, 2022
Statistical package in Python based on Pandas

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F

Raphael Vallat 1.2k Dec 31, 2022
Clean and reusable data-sciency notebooks.

KPACUBO KPACUBO is a set Jupyter notebooks focused on the best practices in both software development and data science, namely, code reuse, explicit d

Matvey Morozov 1 Jan 28, 2022