def test__get_scale_numeric_range_linear_axis():
s = bph._get_scale(Range1d(), "linear")
assert isinstance(s, LinearScale)
s = bph._get_scale(Range1d(), "datetime")
assert isinstance(s, LinearScale)
s = bph._get_scale(Range1d(), "auto")
assert isinstance(s, LinearScale)
def test__get_scale_numeric_range_linear_axis():
s = _get_scale(Range1d(), "linear")
assert isinstance(s, LinearScale)
s = _get_scale(Range1d(), "datetime")
assert isinstance(s, LinearScale)
s = _get_scale(Range1d(), "auto")
assert isinstance(s, LinearScale)
def set_yscale(self, *args, **kwargs):
"""
Thisf unction ...
:param args:
:param kwargs:
:return:
"""
from bokeh.plotting.helpers import _get_scale
scale = args[0]
self._plot.y_scale = _get_scale(self._plot.y_range, scale)
def test__get_scale_factor_range():
s = bph._get_scale(FactorRange(), "auto")
assert isinstance(s, CategoricalScale)
def test__get_scale_numeric_range_log_axis():
s = bph._get_scale(DataRange1d(), "log")
assert isinstance(s, LogScale)
def test__get_scale_factor_range():
s = _get_scale(FactorRange(), "auto")
assert isinstance(s, CategoricalScale)
def test__get_scale_numeric_range_log_axis():
s = _get_scale(DataRange1d(), "log")
assert isinstance(s, LogScale)