def test_mathtext() -> None:
from bokeh.models import TeX
test_mathtext = TeX()
return test_mathtext
# Probability density function
x = np.linspace(-3.0, 3.0, 100)
pdf = np.exp(-0.5 * x**2) / np.sqrt(2.0 * np.pi)
p.line(x,
pdf,
line_width=2,
line_color="navy",
legend_label="Probability Density Function")
p.y_range.start = 0
p.xaxis.axis_label = "x"
p.yaxis.axis_label = "PDF(x)"
p.xaxis.ticker = [-3, -2, -1, 0, 1, 2, 3]
p.xaxis.major_label_overrides = {
-3: TeX(r"\overline{x} - 3\sigma"),
-2: TeX(r"\overline{x} - 2\sigma"),
-1: TeX(r"\overline{x} - \sigma"),
0: TeX(r"\overline{x}"),
1: TeX(r"\overline{x} + \sigma"),
2: TeX(r"\overline{x} + 2\sigma"),
3: TeX(r"\overline{x} + 3\sigma"),
}
p.yaxis.ticker = [0, 0.1, 0.2, 0.3, 0.4]
p.yaxis.major_label_overrides = {
0: TeX(r"0"),
0.1: TeX(r"0.1/\sigma"),
0.2: TeX(r"0.2/\sigma"),
0.3: TeX(r"0.3/\sigma"),
0.4: TeX(r"0.4/\sigma"),
def test_axis_label_accepts_math_text_with_declaration_and_dollar_signs(
) -> None:
a = bma.Axis(axis_label=TeX(text=r"$\sin(x+3)$"))
assert isinstance(a.axis_label, MathText)
assert a.axis_label.text == r"$\sin(x+3)$"
def test_axis_label_accepts_math_text_with_constructor_arg_and_dollar_signs(
) -> None:
a = bma.Axis(axis_label=TeX(r"$\sin(x+4)$"))
assert isinstance(a.axis_label, MathText)
assert a.axis_label.text == r"$\sin(x+4)$"
def test_axis_label_accepts_math_text_with_declaration() -> None:
a = bma.Axis(axis_label=TeX(text=r"\sin(x+2)"))
assert isinstance(a.axis_label, MathText)
assert a.axis_label.text == r"\sin(x+2)"