https://github.com/energyquantified/eq-python-client
Python library for Montel EQ's Time Series API.
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (13.6%) to scientific vocabulary
Keywords
Repository
Python library for Montel EQ's Time Series API.
Basic Info
- Host: GitHub
- Owner: energyquantified
- License: apache-2.0
- Language: Python
- Default Branch: master
- Homepage: https://energyquantified-python.readthedocs.io/
- Size: 569 KB
Statistics
- Stars: 24
- Watchers: 5
- Forks: 4
- Open Issues: 5
- Releases: 43
Topics
Metadata Files
README.md
Energy Quantified Python Client
Documentation | Python package | GitHub repository
The Python library for Energy Quantified's Time Series API. It allows you to access thousands of data series directly from Energy Quantified's time series database. It integrates with the popular pandas library and the polars libarary for high-performance data analysis and manipulation.
Developed for Python 3.7+.
```python from datetime import date, timedelta from energyquantified import EnergyQuantified
Initialize client
eq = EnergyQuantified(api_key='
Freetext search (filtering on attributes is also supported)
curves = eq.metadata.curves(q='de wind production actual')
Load time series data
curve = curves[0] timeseries = eq.timeseries.load( curve, begin=date.today() - timedelta(days=10), end=date.today() )
Convert to Pandas data frame
pddf = timeseries.topandas_dataframe()
Convert to Polars data frame
pldf = timeseries.topolars_dataframe() ```
Full documentation available at Read the Docs.
Features
- Simple authentication
- Metadata caching
- Rate-limiting and automatic retries on network errors
- Full-text search and keyword search for curves and powerplants
- Forecasts- and time series data
- Period-based data
- OHLC data with SRMC calculations
- Shows your subscription for each data series
- Support for timezones, resolutions, aggregations and unit conversions
- Easy-to-use filters for issue dates and forecast types
- Push feed for live updates on data modifications
- Integrates with pandas and polars
Note: A user account with an API key is required to use this library. Create an account on Energy Quantified's home page. Trial users get access to 30 days of history.
Installation
Install with pip:
```bash
Install
pip install energyquantified
Upgrade
pip install --upgrade energyquantified ```
Documentation
Find the documentation at Read the Docs.
License
The Energy Quantified Python client is licensed under the Apache License version 2.0.
Owner
- Name: Energy Quantified
- Login: energyquantified
- Kind: organization
- Location: Oslo, Norway
- Website: https://www.energyquantified.com
- Repositories: 1
- Profile: https://github.com/energyquantified
Forecasting prices and fundamentals for power market professionals.
GitHub Events
Total
- Create event: 20
- Release event: 7
- Issues event: 29
- Watch event: 7
- Delete event: 12
- Issue comment event: 10
- Push event: 44
- Pull request review event: 3
- Pull request review comment event: 5
- Pull request event: 23
- Fork event: 2
Last Year
- Create event: 20
- Release event: 7
- Issues event: 29
- Watch event: 7
- Delete event: 12
- Issue comment event: 10
- Push event: 44
- Pull request review event: 3
- Pull request review comment event: 5
- Pull request event: 23
- Fork event: 2
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jon Moen Drange | j****e@g****m | 69 |
| Jon Moen Drange | j****d | 24 |
| fredriksvendsen | f****2@g****m | 23 |
| Konstantin Pelz | k****n@e****m | 10 |
| Konstantin Pelz | K****z@p****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 76
- Total pull requests: 79
- Average time to close issues: 3 months
- Average time to close pull requests: 10 days
- Total issue authors: 12
- Total pull request authors: 6
- Average comments per issue: 0.42
- Average comments per pull request: 0.16
- Merged pull requests: 73
- Bot issues: 0
- Bot pull requests: 4
Past Year
- Issues: 16
- Pull requests: 24
- Average time to close issues: 17 days
- Average time to close pull requests: 2 days
- Issue authors: 9
- Pull request authors: 6
- Average comments per issue: 0.19
- Average comments per pull request: 0.08
- Merged pull requests: 20
- Bot issues: 0
- Bot pull requests: 2
Top Authors
Issue Authors
- jonmd (28)
- fredriksvendsen (21)
- komape (18)
- pfwnicks (1)
- caju-bit (1)
- atemmo (1)
- chrjx (1)
- MartinGJespersen (1)
- MathiasLorenz (1)
- risosoky (1)
- stanton119 (1)
- igramatk (1)
Pull Request Authors
- fredriksvendsen (37)
- jonmd (25)
- komape (12)
- dependabot[bot] (5)
- pfwnicks (2)
- vakili (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 103,879 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 43
- Total maintainers: 1
pypi.org: energyquantified
Energy Quantified Time series API client.
- Homepage: https://github.com/energyquantified/eq-python-client
- Documentation: https://energyquantified-python.readthedocs.io
- License: Apache Software License
-
Latest release: 0.14.7
published 6 months ago
Rankings
Maintainers (1)
Dependencies
- Sphinx ==3.3.1
- docutils ==0.17
- python-dateutil >=2.8.0,<2.9
- pytz *
- recommonmark ==0.6.0
- requests >=2.3,<3
- twine *
- tzlocal *
- wheel *
- python-dateutil >=2.8.0,<2.9
- pytz *
- requests >=2.3,<3
- tzlocal *