Coles datasets¶
The portpirie sample gives the annual maximum sea levels recorded at Port Pirie, South Australia, from 1923 to 1987.
The fremantle sample lists the annual maximum sea levels at Fremantle, Western Australia, versus mean annual value of Southern Oscillation Index, from 1897 to 1989.
The racetime sample gives the fastest annual race time for the women 1500m over the period 1972-1992.
The rain sample consists in a time series of daily rainfall accumulations in south-west England, recorded from 1914 to 1962.
The wooster sample is a series of daily minimum temperatures recorded in Wooster (Ohio).
The wind sample records the annual maximum wind speeds at two location in the US: Albany (New York) and Hartford (Connecticut), from 1944 to 1983.
The wavesurge sample consist in measurements of wave and surge heights in south-west England.
The venice sample gives the ten largest sea levels from 1931 to 1981, excluding 1935 in which only six values are available.
References¶
API documentation¶
- class Coles
Data sets for the examples from [coles2001].
Examples
>>> from openturns.usecases import coles >>> data = coles.Coles().portpirie >>> print(data[:3])
- Attributes:
- dowjonesstr
Dow Jones Index dataset path
- fremantle
Sample
Sea levels dataset
- portpirie
Sample
Sea levels dataset
- racetime
Sample
Race time dataset
- rain
Sample
Daily rainfall dataset
- venice
Sample
Sea levels dataset
- wavesurge
Sample
Wave and surge heights dataset
- wind
Sample
Wind speeds dataset
- woosterstr
Temperatures dataset path
Examples based on this use case¶
Estimate a GEV on the Venice sea-levels data
Estimate a GPD on the Wooster temperature data
Estimate a GPD on the Dow Jones Index data
Estimate a GEV on the Port Pirie sea-levels data
Estimate a GPD on the daily rainfall data
Estimate a GEV on race times data
Estimate a GEV on the Fremantle sea-levels data
Estimate tail dependence coefficients on the wave-surge data
Estimate tail dependence coefficients on the wind data