Orange3 add-on for exploring time series and sequential data.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for AlesErjavec from gravatar.com AlesErjavec Avatar for apretnar from gravatar.com apretnar Avatar for biolab-helper from gravatar.com biolab-helper Avatar for janezdemsar from gravatar.com janezdemsar Avatar for lanzagar from gravatar.com lanzagar Avatar for markotoplak from gravatar.com markotoplak Avatar for primozgodec from gravatar.com primozgodec Avatar for rokgomiscek from gravatar.com rokgomiscek

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (CC-BY-NC-3.0)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags time series, sequence analysis, orange3 add-on, ARIMA, VAR model, forecast
Classifiers

Project description

Orange3-Timeseries

Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data. The add-on includes ANOVA and VAR models, model evaluation, time series preprocessing, seasonal adjustment and a wide array of visualizations. See documentation.

Features

Use time series data

  • reinterpret data as time series
  • induce missing values
  • generate time series from Yahoo Finance stock market data

Analysis of time series data

  • aggregate data by a given time interval
  • decompose the time series into seasonal, trend, and residual components
  • apply rolling window functions to the time series
  • make forecasts for the future
  • evaluate models

Visualize time series data

  • visualize time series’ sequence and progression
  • visualize variables’ auto-correlation
  • visualize time series’ cycles, seasonality, periodicity, and most significant periods

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for AlesErjavec from gravatar.com AlesErjavec Avatar for apretnar from gravatar.com apretnar Avatar for biolab-helper from gravatar.com biolab-helper Avatar for janezdemsar from gravatar.com janezdemsar Avatar for lanzagar from gravatar.com lanzagar Avatar for markotoplak from gravatar.com markotoplak Avatar for primozgodec from gravatar.com primozgodec Avatar for rokgomiscek from gravatar.com rokgomiscek

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (CC-BY-NC-3.0)
  • Author: Bioinformatics Laboratory, FRI UL
  • Tags time series, sequence analysis, orange3 add-on, ARIMA, VAR model, forecast
Classifiers

Release history Release notifications | RSS feed

0.6.3

0.6.2

0.6.1

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0 yanked

Reason this release was yanked:

Pyqtgraph not fixed, Line Chart won't work.

0.4.1

0.4.0

0.3.12

0.3.11

0.3.10

This version

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Orange3-Timeseries-0.3.9.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

Orange3_Timeseries-0.3.9-py3-none-any.whl (463.6 kB view details)

Uploaded Python 3

File details

Details for the file Orange3-Timeseries-0.3.9.tar.gz.

File metadata

  • Download URL: Orange3-Timeseries-0.3.9.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.6

File hashes

Hashes for Orange3-Timeseries-0.3.9.tar.gz
Algorithm Hash digest
SHA256 0d0b941c2ebb6afb0d23a7d46a7b44ccd59ce9d6836ee91a2d35f92fd9a361b7
MD5 8c828d9f571b395cc39694dd8269568a
BLAKE2b-256 deea978eb77be616ae580fc90d509ab057a77ec19eb6f2b9529320ce1c895906

See more details on using hashes here.

File details

Details for the file Orange3_Timeseries-0.3.9-py3-none-any.whl.

File metadata

  • Download URL: Orange3_Timeseries-0.3.9-py3-none-any.whl
  • Upload date:
  • Size: 463.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.6

File hashes

Hashes for Orange3_Timeseries-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 60a3c74d10b31106f2583874176e598420a1ffc15891cb137f68ae44ff492655
MD5 a23f5f37cf49bd37a44923912da041d4
BLAKE2b-256 49c5c9f8df47d9e0edbb2bf79b57fd0782de12b221564ca5c411b251b60fa824

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page