gnome.environment.timeseries_objects_base

Attributes

TimeSeriesProp

Classes

`TimeseriesData`	Base class for data with a single dimension: time
`TimeseriesVector`	Base class for multiple data sources aligned along the same single time dimension

Module Contents

class gnome.environment.timeseries_objects_base.TimeseriesData(data=None, time=None, units=None, extrapolate=True, *args, **kwargs)

Bases: gnome.gnomeobject.GnomeId

Base class for data with a single dimension: time

A class that represents a natural phenomenon and provides an interface to get the value of the phenomenon at a position in space and time. EnvProp is the base class, and returns only a single value regardless of the time.

Parameters:

name (string) – Name
units (string) – Units
time ([] of datetime.datetime, netCDF4.Variable, or Time object) – Time axis of the data
data (array-like) – Value of the property

units = None

property data

property time

extrapolate = True

classmethod constant(name=None, units=None, data=None)

property timeseries

Creates a representation of the time series

Return type:: list of (datetime, double) tuples

at(points, time, *, units=None, extrapolate=False, auto_align=True, **kwargs)

Interpolates this property to the given points at the given time with the units specified.

Parameters:

points – A Nx2 array of lon,lat points
time – A datetime object. May be None; if this is so, the variable is assumed to be gridded but time-invariant
units – The units that the result would be converted to

in_units(unit)

Returns a full cpy of this property in the units specified. WARNING: This will cpy the data of the original property!

Parameters:: units (string) – Units to convert to
Returns:: Copy of self converted to new units
Return type:: Same as self

is_constant()

gnome.environment.timeseries_objects_base.TimeSeriesProp

class gnome.environment.timeseries_objects_base.TimeseriesVector(variables=None, time=None, units=None, *args, **kwargs)

Bases: gnome.gnomeobject.GnomeId

Base class for multiple data sources aligned along the same single time dimension

A class that represents a vector natural phenomenon and provides an interface to get the value of the phenomenon at a position in space and time.

Parameters:

name (string) – Name of the Property
units (string) – Unit of the underlying data
time ([] of datetime.datetime, netCDF4.Variable, or Time object) – Time axis of the data
variables ([] of TimeseriesData or numpy.array (Max len=2)) – component data arrays

variables = None

property units

Units of underlying data

Return type:: string

property time

Time axis of data. I

Return type:: gnome.environment.property.Time

property varnames

Names of underlying variables

Return type:: [] of strings

at(points, time, *, units=None, extrapolate=False, **kwargs)

Find the value of the property at positions P at time T

TODO: What are the argument names for time and time level really?

Parameters:

points (Nx2 array of double) – Coordinates to be queried (P)
time (integer) – The time at which to query these points (T)
time – Specifies the time level of the variable
units (string such as ('m/s', 'knots', etc)) – units the values will be returned in (or converted to)
extrapolate (boolean (True or False)) – if True, extrapolation will be supported

Returns:

returns a Nx2 array of interpolated values

Return type:

double