Built-in Datasets

dynaris ships with six classic time series datasets for examples and testing. Each loader returns a pandas Series with an appropriate index.

Dataset	Loader	N	Frequency	Domain
Nile river flow	load_nile()	100	Annual	Hydrology
Airline passengers	load_airline()	144	Monthly	Transportation
Lynx population	load_lynx()	114	Annual	Ecology
Sunspot numbers	load_sunspots()	288	Annual	Astronomy
Global temperature	load_temperature ()	144	Annual	Climate
US GDP growth	load_gdp()	319	Quarterly	Economics

Usage

from dynaris.datasets import load_airline

y = load_airline()
print(y.head())
print(f"Shape: {y.shape}, Index: {y.index[0]} to {y.index[-1]}")

All loaders accept no arguments and return a pandas Series. The index is a DatetimeIndex for monthly/quarterly data or an integer index for annual data.

See Datasets for the full API reference.