def validate(self, table):
before_column = table.columns[self._before_column_name]
after_column = table.columns[self._after_column_name]
if not isinstance(before_column.data_type, Number):
raise DataTypeError('PercentChange before column must contain Number data.')
if not isinstance(after_column.data_type, Number):
raise DataTypeError('PercentChange after column must contain Number data.')
if HasNulls(self._before_column_name).run(table):
warn_null_calculation(self, before_column)
if HasNulls(self._after_column_name).run(table):
warn_null_calculation(self, after_column)
def validate(self, table):
before_column = table.columns[self._before_column_name]
after_column = table.columns[self._after_column_name]
for data_type in (Number, Date, DateTime, TimeDelta):
if isinstance(before_column.data_type, data_type):
if not isinstance(after_column.data_type, data_type):
raise DataTypeError('Specified columns must be of the same type')
if HasNulls(self._before_column_name).run(table):
warn_null_calculation(self, before_column)
if HasNulls(self._after_column_name).run(table):
warn_null_calculation(self, after_column)
return
raise DataTypeError('Change before and after columns must both contain data that is one of: Number, Date, DateTime or TimeDelta.')
def validate(self, table):
column = table.columns[self._column_name]
if not isinstance(column.data_type, Number):
raise DataTypeError('Deciles 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 validate(self, table):
column = table.columns[self._column_name]
if not isinstance(column.data_type, Number):
raise DataTypeError('Percent column must contain Number data.')
if self._total is not None and self._total <= 0:
raise DataTypeError('The total must be a positive number')
# Throw a warning if there are nulls in there
if HasNulls(self._column_name).run(table):
warn_null_calculation(self, column)
def validate(self, table):
if issequence(self._column_name):
column_names = self._column_name
else:
column_names = [self._column_name]
for column_name in column_names:
column = table.columns[column_name]
if not isinstance(column.data_type, Text):
raise DataTypeError('Slug column must contain Text data.')
if HasNulls(column_name).run(table):
raise ValueError('Slug column cannot contain `None`.')