Get real univariate time series data easily for testing
Project description
realdata
Tired of using fake data for testing time series, or historical data that you gradually overfit to? This returns "medium" length (~2000) univariate time series from real world instrumented processes. The data is live, so this never gets stale.
Install
pip install realdata
Usage
from realdata import get_values
values = get_values()
Too bare bones for you?
See other ways to grab the data directly, or see this short tutorial on retrieving historical data using the microprediction package.
What's the data?
All sorts of things: traffic, electricity, emoji usage, hospital wait times, altitude of UFOs, security wait times at airports, changes in crypto-currencies, ... you get the idea.
Streams are live so the next time you get data, it will be different.
Can I add to the collection?
Yes see the tutorial on making a new stream of data.
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