Source code for tvb.datatypes.temporal_correlations
# -*- coding: utf-8 -*-
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"""
The Temporal Correlation datatypes.
.. moduleauthor:: Stuart A. Knock <Stuart@tvb.invalid>
"""
import tvb.datatypes.time_series as time_series
from tvb.basic.neotraits.api import HasTraits, Attr, NArray, List, narray_summary_info
[docs]
class CrossCorrelation(HasTraits):
"""
Result of a CrossCorrelation Analysis.
"""
array_data = NArray()
source = Attr(
field_type=time_series.TimeSeries,
label="Source time-series",
doc="""Links to the time-series on which the cross_correlation is applied."""
)
time = NArray(label="Temporal Offsets", required=False)
labels_ordering = List(
of=str,
label="Dimension Names",
default=("Offsets", "Node", "Node", "State Variable", "Mode"),
doc="""List of strings representing names of each data dimension"""
)
[docs]
def summary_info(self):
"""
Gather scientifically interesting summary information from an instance of this datatype.
"""
summary = {
"Temporal correlation type": self.__class__.__name__,
"Source": self.source.title,
"Dimensions": self.labels_ordering
}
summary.update(narray_summary_info(self.array_data))
return summary