def validate(self, in_dshape):
if not isreal(in_dshape.measure[str(self.x)]):
raise ValueError('x must be real')
elif not isreal(in_dshape.measure[str(self.y)]):
raise ValueError('y must be real')
elif not isreal(in_dshape.measure[str(self.name)]):
raise ValueError('aggregate value must be real')
def validate(self, in_dshape):
if not all([isreal(in_dshape.measure[str(xcol)]) for xcol in self.x]):
raise ValueError('x columns must be real')
elif not all([isreal(in_dshape.measure[str(ycol)])
for ycol in self.y]):
raise ValueError('y columns must be real')
unique_x_measures = set(in_dshape.measure[str(xcol)]
for xcol in self.x)
if len(unique_x_measures) > 1:
raise ValueError('x columns must have the same data type')
unique_y_measures = set(in_dshape.measure[str(ycol)]
for ycol in self.y)
if len(unique_y_measures) > 1:
raise ValueError('y columns must have the same data type')
def test_isreal():
assert isreal('int32')
assert isreal(dshape('int32'))
assert isreal('?int32')
assert isreal('float64')
assert not isreal('complex64')
assert not isreal('{x: int64, y: float64}')
def test_isreal():
assert isreal('int32')
assert isreal(dshape('int32'))
assert isreal('?int32')
assert isreal('float64')
assert not isreal('complex64')
assert not isreal('{x: int64, y: float64}')
def validate(self, in_dshape):
if not all([isreal(in_dshape.measure[str(xcol)]) for xcol in self.x]):
raise ValueError('x columns must be real')
elif not all([isreal(in_dshape.measure[str(ycol)])
for ycol in self.y]):
raise ValueError('y columns must be real')
def validate(self, in_dshape):
for col in [self.x, self.y] + list(self.z):
if not isreal(in_dshape.measure[str(col)]):
raise ValueError('{} must be real'.format(col))
