def run(self, table):
"""
:returns:
:class:`int`
"""
percentiles = Percentiles(self._column_name).run(table)
new_column = []
for row in table.rows:
new_column.append(percentiles.locate(row[self._column_name]))
return new_column
def run(self, table):
"""
:returns:
:class:`int`
"""
percentiles = Percentiles(self._column_name).run(table)
new_column = []
for row in table.rows:
new_column.append(percentiles.locate(row[self._column_name]))
return new_column
class Median(Aggregation):
"""
Calculate the median of a column.
Median is equivalent to the 50th percentile. See :class:`Percentiles`
for implementation details.
:param column_name:
The name of a column containing :class:`.Number` data.
"""
def __init__(self, column_name):
self._column_name = column_name
self._percentiles = Percentiles(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('Median 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):
percentiles = self._percentiles.run(table)
return percentiles[50]
class Median(Aggregation):
"""
Calculate the median of a column.
Median is equivalent to the 50th percentile. See :class:`Percentiles`
for implementation details.
:param column_name:
The name of a column containing :class:`.Number` data.
"""
def __init__(self, column_name):
self._column_name = column_name
self._percentiles = Percentiles(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(
'Median 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):
percentiles = self._percentiles.run(table)
return percentiles[50]
class IQR(Aggregation):
"""
Calculate the interquartile range of a column containing
:class:`.Number` data.
"""
def __init__(self, column_name):
self._column_name = column_name
self._percentiles = Percentiles(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('IQR 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):
percentiles = self._percentiles.run(table)
return percentiles[75] - percentiles[25]
class IQR(Aggregation):
"""
Calculate the interquartile range 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._percentiles = Percentiles(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('IQR 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):
percentiles = self._percentiles.run(table)
return percentiles[75] - percentiles[25]
def run(self, table):
"""
:returns:
An instance of :class:`Quantiles`.
"""
percentiles = Percentiles(self._column_name).run(table)
return Quantiles([percentiles[i] for i in range(0, 101, 25)])
def __init__(self, column_name):
self._column_name = column_name
self._percentiles = Percentiles(column_name)
def __init__(self, column_name):
self._column_name = column_name
self._percentiles = Percentiles(column_name)