def summary_info(self):
"""
Gather scientifically interesting summary information from an instance
of this datatype.
"""
_, _, v = scipy.sparse.find(self.matrix)
return narray_summary_info(v, ar_name='matrix-nonzero')
def summary_info(self):
summary = {
"Graph type": self.__class__.__name__,
"Source": self.source.title
}
summary.update(narray_summary_info(self.array_data))
return summary
def summary_info(self):
summary = {
"Graph type": self.__class__.__name__,
"Source": self.source.title,
"Dimensions": self.labels_ordering
}
summary.update(narray_summary_info(self.array_data))
return summary
def summary_info(self):
"""
Gather scientifically interesting summary information from an instance of this datatype.
"""
summary = {
"FCD type": self.__class__.__name__,
"Source": self.source.title,
"Dimensions": self.labels_ordering
}
summary.update(narray_summary_info(self.array_data))
return summary
def summary_info(self):
summary = {
"Number of regions": self.number_of_regions,
"Number of connections": self.number_of_connections,
"Undirected": self.undirected,
}
summary.update(narray_summary_info(self.areas, ar_name='areas'))
summary.update(narray_summary_info(self.weights, ar_name='weights'))
summary.update(
narray_summary_info(self.weights[self.weights.nonzero()],
ar_name='weights-non-zero',
omit_shape=True))
summary.update(
narray_summary_info(self.tract_lengths,
ar_name='tract_lengths',
omit_shape=True))
summary.update(
narray_summary_info(
self.tract_lengths[self.tract_lengths.nonzero()],
ar_name='tract_lengths-non-zero',
omit_shape=True))
summary.update(
narray_summary_info(self.tract_lengths[self.weights.nonzero()],
ar_name='tract_lengths (connections)',
omit_shape=True))
return summary
def summary_info(self):
"""
Gather scientifically interesting summary information from an instance of this datatype.
"""
summary = {
"Time-series type": self.__class__.__name__,
"Time-series name": self.title,
"Dimensions": self.labels_ordering,
"Time units": self.sample_period_unit,
"Sample period": self.sample_period,
"Length": self.time_length
}
summary.update(narray_summary_info(self.data))
return summary
