def test_linlog(self):
ylinlog = viz._estimate_from_fit(self.x, self.slope, self.intercept,
xlog=False, ylog=True)
percent_diff = numpy.abs(ylinlog - self.known_ylinlog) / self.known_ylinlog
nptest.assert_array_almost_equal(
percent_diff,
numpy.zeros(self.x.shape[0]),
decimal=5
)
def test_linlog(self):
ylinlog = viz._estimate_from_fit(self.x, self.slope, self.intercept,
xlog=False, ylog=True)
percent_diff = np.abs(ylinlog - self.known_ylinlog) / self.known_ylinlog
nptest.assert_array_almost_equal(
percent_diff,
np.zeros(self.x.shape[0]),
decimal=5
)
def test_loglog(self):
yloglog = viz._estimate_from_fit(self.x, self.slope, self.intercept,
xlog=True, ylog=True)
nptest.assert_array_almost_equal(yloglog, self.known_yloglog)
def test_linlin(self):
ylinlin = viz._estimate_from_fit(self.x, self.slope, self.intercept,
xlog=False, ylog=False)
nptest.assert_array_almost_equal(ylinlin, self.known_ylinlin)
def test_loglog(self):
yloglog = viz._estimate_from_fit(self.x, self.slope, self.intercept,
xlog=True, ylog=True)
nptest.assert_array_almost_equal(yloglog, self.known_yloglog)
def test_linlin(self):
ylinlin = viz._estimate_from_fit(self.x, self.slope, self.intercept,
xlog=False, ylog=False)
nptest.assert_array_almost_equal(ylinlin, self.known_ylinlin)
