class MAD(Aggregation):
"""
Calculate the `median absolute deviation <http://en.wikipedia.org/wiki/Median_absolute_deviation>`_
of a column containing :class:`.Number` data.
"""
def __init__(self, column_name):
self._column_name = column_name
self._median = Median(column_name)
def get_aggregate_data_type(self, table):
return Number()
def validate(self, table):
column = table.columns[self._column_name]
if not isinstance(column.data_type, Number):
raise DataTypeError('MAD can only be applied to columns containing Number data.')
has_nulls = HasNulls(self._column_name).run(table)
if has_nulls:
warn_null_calculation(self, column)
def run(self, table):
column = table.columns[self._column_name]
data = column.values_without_nulls_sorted()
m = self._median.run(table)
return median(tuple(abs(n - m) for n in data))
class MAD(Aggregation):
"""
Calculate the `median absolute deviation <http://en.wikipedia.org/wiki/Median_absolute_deviation>`_
of a column.
:param column_name:
The name of a column containing :class:`.Number` data.
"""
def __init__(self, column_name):
self._column_name = column_name
self._median = Median(column_name)
def get_aggregate_data_type(self, table):
return Number()
def validate(self, table):
column = table.columns[self._column_name]
if not isinstance(column.data_type, Number):
raise DataTypeError('MAD can only be applied to columns containing Number data.')
has_nulls = HasNulls(self._column_name).run(table)
if has_nulls:
warn_null_calculation(self, column)
def run(self, table):
column = table.columns[self._column_name]
data = column.values_without_nulls_sorted()
if data:
m = self._median.run(table)
return median(tuple(abs(n - m) for n in data))
def __init__(self, column_name):
self._column_name = column_name
self._median = Median(column_name)
def __init__(self, column_name):
self._column_name = column_name
self._median = Median(column_name)
