def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
return column.sum()
def run(self, column):
"""
:returns: :class:`int`.
"""
if not isinstance(column, TextColumn):
raise UnsupportedAggregationError(self, column)
return max([len(d) for d in column.get_data_without_nulls()])
def get_aggregate_column_type(self, column):
if isinstance(column, DateColumn):
return DateType()
elif isinstance(column, DateTimeColumn):
return DateTimeType()
elif isinstance(column, NumberColumn):
return NumberType()
raise UnsupportedAggregationError(self, column)
def run(self, column):
"""
:returns: :class:`datetime.date`
"""
supported_columns = (DateColumn, DateTimeColumn, NumberColumn)
if not any(isinstance(column, t) for t in supported_columns):
raise UnsupportedAggregationError(self, column)
return max(column.get_data_without_nulls())
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
super(StDev, self).run(column)
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
return column._variance().sqrt()
def get_aggregate_data_type(self, table):
"""
Get the data type that should be used when using this aggregation with
a :class:`.TableSet` to produce a new column.
Should raise :class:`.UnsupportedAggregationError` if this column does
not support aggregation into a :class:`.TableSet`. (For example, if it
does not return a single value.)
"""
raise UnsupportedAggregationError()
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
if column.has_nulls():
raise NullCalculationError
return column.variance().sqrt()
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
super(IQR, self).run(column)
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
percentiles = column.percentiles()
return percentiles[75] - percentiles[25]
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
if column.has_nulls():
raise NullCalculationError
percentiles = column.percentiles()
return percentiles[75] - percentiles[25]
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
super(MAD, self).run(column)
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
data = column._data_sorted()
m = column.percentiles()[50]
return self._median(tuple(abs(n - m) for n in data))
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
if column.has_nulls():
raise NullCalculationError
data = column.get_data_sorted()
m = column.percentiles()[50]
return self._median(tuple(abs(n - m) for n in data))
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
super(Mode, self).run(column)
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
data = column._data()
state = defaultdict(int)
for n in data:
state[n] += 1
return max(state.keys(), key=lambda x: state[x])
def run(self, column):
"""
:returns: :class:`decimal.Decimal`.
"""
if not isinstance(column, NumberColumn):
raise UnsupportedAggregationError(self, column)
if column.has_nulls():
raise NullCalculationError
data = column.get_data()
state = defaultdict(int)
for n in data:
state[n] += 1
return max(state.keys(), key=lambda x: state[x])
