def get_graph(
self, func,
color=None,
x_min=None,
x_max=None,
**kwargs
):
if color is None:
color = next(self.default_graph_colors_cycle)
if x_min is None:
x_min = self.x_min
if x_max is None:
x_max = self.x_max
def parameterized_function(alpha):
x = interpolate(x_min, x_max, alpha)
y = func(x)
if not np.isfinite(y):
y = self.y_max
return self.coords_to_point(x, y)
graph = ParametricFunction(
parameterized_function,
color=color,
**kwargs
)
graph.underlying_function = func
return graph
def add_curve(self,
func,
color=None,
x_min=None,
x_max=None,
parameters=None,
**kwargs):
if color is None:
color = next(self.default_graph_colors_cycle)
if x_min is None:
x_min = self.x_min
if x_max is None:
x_max = self.x_max
def parameterized_function(alpha, **parameters):
x = interpolate(x_min, x_max, alpha)
y = func(x, **parameters)
if not np.isfinite(y):
y = self.y_max
return self.coords_to_point(x, y)
curve = ParametricFunction(parameterized_function,
parameters=parameters,
color=color,
**kwargs)
curve.underlying_function = func
if hasattr(self, "curves") is False:
self.curves = VGroup()
self.curves.add(curve)
self.add(self.curves)
return curve
def get_graph(
self, func,
color=None,
x_min=None,
x_max=None,
**kwargs
):
if color is None:
color = next(self.default_graph_colors_cycle)
if x_min is None:
x_min = self.x_min
if x_max is None:
x_max = self.x_max
def parameterized_function(alpha):
x = interpolate(x_min, x_max, alpha)
y = func(x)
if not np.isfinite(y):
y = self.y_max
return self.coords_to_point(x, y)
graph = ParametricFunction(
parameterized_function,
color=color,
**kwargs
)
graph.underlying_function = func
return graph
def make_path(func,
x_min=0,
x_max=1,
y_max=None,
y_infinity=10,
color="#ffffff",
**kwargs):
def parametric(alpha=1, override_x=None):
if override_x == None:
x = interpolate(x_min, x_max, alpha)
else:
x = override_x
y = func(x)
if not np.isfinite(y) or (y_max and y >= y_max):
y = y_infinity
return (x, y, 0)
path = ParametricFunction(parametric, color=color, **kwargs)
path.underlying_function = func
path.para_func = parametric
path.x_min = x_min
path.x_max = x_max
return path
def get_parametric_curve(self, function, **kwargs):
dim = self.dimension
graph = ParametricFunction(
lambda t: self.coords_to_point(
*function(t)[:dim]
),
**kwargs
)
graph.underlying_function = function
return graph
def get_graph(self, function, **kwargs):
x_min = kwargs.pop("x_min", self.x_min)
x_max = kwargs.pop("x_max", self.x_max)
graph = ParametricFunction(
lambda t: self.coords_to_point(t, function(t)),
t_min=x_min,
t_max=x_max,
**kwargs)
graph.underlying_function = function
return graph
def get_graph(
self, func,
color=None,
x_min=None,
x_max=None,
**kwargs
):
"""
This method gets a curve to plot on the graph.
Parameters
----------
func : function
The function to plot. It's return value should be
the y-coordinate for a given x-coordinate
color : str
The string of the RGB color of the curve. in Hexadecimal representation.
x_min : (Union[int,float])
The lower x_value from which to plot the curve.
x_max : (Union[int,float])
The higher x_value until which to plot the curve.
**kwargs:
Any valid keyword arguments of ParametricFunction.
Return
------
ParametricFunction
The Parametric Curve for the function passed.
"""
if color is None:
color = next(self.default_graph_colors_cycle)
if x_min is None:
x_min = self.x_min
if x_max is None:
x_max = self.x_max
def parameterized_function(alpha):
x = interpolate(x_min, x_max, alpha)
y = func(x)
if not np.isfinite(y):
y = self.y_max
return self.coords_to_point(x, y)
graph = ParametricFunction(
parameterized_function,
color=color,
**kwargs
)
graph.underlying_function = func
return graph
def get_graph(self,
function,
num_graph_points=None,
x_min=None,
x_max=None,
**kwargs):
kwargs["fill_opacity"] = kwargs.get("fill_opacity", 0)
kwargs["num_anchor_points"] = \
num_graph_points or self.default_num_graph_points
x_min = x_min or self.x_min
x_max = x_max or self.x_max
graph = ParametricFunction(
lambda t: self.coords_to_point(t, function(t)),
t_min=x_min,
t_max=x_max,
**kwargs)
graph.underlying_function = function
return graph
def get_graph(
self, func,
color=None,
x_min=None,
x_max=None,
):
"""
Parameters
----------
func : Function
This function must be continuous
color : Hexadecimal color
Color
x_min : float
TODO
x_max : float
TODO
"""
if color is None:
color = next(self.default_graph_colors_cycle)
if x_min is None:
x_min = self.x_min
if x_max is None:
x_max = self.x_max
def parameterized_function(alpha):
x = interpolate(x_min, x_max, alpha)
y = func(x)
if not np.isfinite(y):
y = self.y_max
return self.coords_to_point(x, y)
graph = ParametricFunction(
parameterized_function,
color=color,
num_anchor_points=self.num_graph_anchor_points,
)
graph.underlying_function = func
return graph