StreamLines#

Qualified name: manim.mobject.vector\_field.StreamLines

class StreamLines(func, color=None, color_scheme=None, min_color_scheme_value=0, max_color_scheme_value=2, colors=[ManimColor('#236B8E'), ManimColor('#83C167'), ManimColor('#FFFF00'), ManimColor('#FC6255')], x_range=None, y_range=None, z_range=None, three_dimensions=False, noise_factor=None, n_repeats=1, dt=0.05, virtual_time=3, max_anchors_per_line=100, padding=3, stroke_width=1, opacity=1, **kwargs)[source]#

Bases: VectorField

StreamLines represent the flow of a VectorField using the trace of moving agents.

Vector fields are always based on a function defining the vector at every position. The values of this functions is displayed by moving many agents along the vector field and showing their trace.

Parameters:

  • func (Callable[[np.ndarray], np.ndarray]) – The function defining the rate of change at every position of the vector field.

  • color (ParsableManimColor | None) – The color of the vector field. If set, position-specific coloring is disabled.

  • color_scheme (Callable[[np.ndarray], float] | None) – A function mapping a vector to a single value. This value gives the position in the color gradient defined using min_color_scheme_value, max_color_scheme_value and colors.

  • min_color_scheme_value (float) – The value of the color_scheme function to be mapped to the first color in colors. Lower values also result in the first color of the gradient.

  • max_color_scheme_value (float) – The value of the color_scheme function to be mapped to the last color in colors. Higher values also result in the last color of the gradient.

  • colors (Sequence[ParsableManimColor]) – The colors defining the color gradient of the vector field.

  • x_range (Sequence[float]) – A sequence of x_min, x_max, delta_x

  • y_range (Sequence[float]) – A sequence of y_min, y_max, delta_y

  • z_range (Sequence[float]) – A sequence of z_min, z_max, delta_z

  • three_dimensions (bool) – Enables three_dimensions. Default set to False, automatically turns True if z_range is not None.

  • noise_factor (float | None) – The amount by which the starting position of each agent is altered along each axis. Defaults to delta_y / 2 if not defined.

  • n_repeats – The number of agents generated at each starting point.

  • dt – The factor by which the distance an agent moves per step is stretched. Lower values result in a better approximation of the trajectories in the vector field.

  • virtual_time – The time the agents get to move in the vector field. Higher values therefore result in longer stream lines. However, this whole time gets simulated upon creation.

  • max_anchors_per_line – The maximum number of anchors per line. Lines with more anchors get reduced in complexity, not in length.

  • padding – The distance agents can move out of the generation area before being terminated.

  • stroke_width – The stroke with of the stream lines.

  • opacity – The opacity of the stream lines.

Examples

Example: BasicUsage

../_images/BasicUsage-2.png 
from manim import *

class BasicUsage(Scene):
    def construct(self):
        func = lambda pos: ((pos[0] * UR + pos[1] * LEFT) - pos) / 3
        self.add(StreamLines(func))

class BasicUsage(Scene):
    def construct(self):
        func = lambda pos: ((pos[0] * UR + pos[1] * LEFT) - pos) / 3
        self.add(StreamLines(func))

Example: SpawningAndFlowingArea

../_images/SpawningAndFlowingArea-1.png 
from manim import *

class SpawningAndFlowingArea(Scene):
    def construct(self):
        func = lambda pos: np.sin(pos[0]) * UR + np.cos(pos[1]) * LEFT + pos / 5
        stream_lines = StreamLines(
            func, x_range=[-3, 3, 0.2], y_range=[-2, 2, 0.2], padding=1
        )

        spawning_area = Rectangle(width=6, height=4)
        flowing_area = Rectangle(width=8, height=6)
        labels = [Tex("Spawning Area"), Tex("Flowing Area").shift(DOWN * 2.5)]
        for lbl in labels:
            lbl.add_background_rectangle(opacity=0.6, buff=0.05)

        self.add(stream_lines, spawning_area, flowing_area, *labels)

class SpawningAndFlowingArea(Scene):
    def construct(self):
        func = lambda pos: np.sin(pos[0]) * UR + np.cos(pos[1]) * LEFT + pos / 5
        stream_lines = StreamLines(
            func, x_range=[-3, 3, 0.2], y_range=[-2, 2, 0.2], padding=1
        )

        spawning_area = Rectangle(width=6, height=4)
        flowing_area = Rectangle(width=8, height=6)
        labels = [Tex("Spawning Area"), Tex("Flowing Area").shift(DOWN * 2.5)]
        for lbl in labels:
            lbl.add_background_rectangle(opacity=0.6, buff=0.05)

        self.add(stream_lines, spawning_area, flowing_area, *labels)

Methods

create

The creation animation of the stream lines.

end_animation

End the stream line animation smoothly.

start_animation

Animates the stream lines using an updater.

Attributes

animate

Used to animate the application of any method of self.

animation_overrides

color

depth

The depth of the mobject.

fill_color

If there are multiple colors (for gradient) this returns the first one

height

The height of the mobject.

n_points_per_curve

sheen_factor

stroke_color

width

The width of the mobject.
_original__init__(func, color=None, color_scheme=None, min_color_scheme_value=0, max_color_scheme_value=2, colors=[ManimColor('#236B8E'), ManimColor('#83C167'), ManimColor('#FFFF00'), ManimColor('#FC6255')], x_range=None, y_range=None, z_range=None, three_dimensions=False, noise_factor=None, n_repeats=1, dt=0.05, virtual_time=3, max_anchors_per_line=100, padding=3, stroke_width=1, opacity=1, **kwargs)#

Initialize self. See help(type(self)) for accurate signature.

Parameters:

  • func (Callable[[ndarray], ndarray]) –

  • color (Optional[Union[ManimColor, int, str, Tuple[int, int, int], Tuple[float, float, float], Tuple[int, int, int, int], Tuple[float, float, float, float], ndarray[Any, dtype[int64]], ndarray[Any, dtype[float64]]]]) –

  • color_scheme (Optional[Callable[[ndarray], float]]) –

  • min_color_scheme_value (float) –

  • max_color_scheme_value (float) –

  • colors (Sequence[Union[ManimColor, int, str, Tuple[int, int, int], Tuple[float, float, float], Tuple[int, int, int, int], Tuple[float, float, float, float], ndarray[Any, dtype[int64]], ndarray[Any, dtype[float64]]]]) –

  • x_range (Sequence[float]) –

  • y_range (Sequence[float]) –

  • z_range (Sequence[float]) –

  • three_dimensions (bool) –

  • noise_factor (float | None) –

create(lag_ratio=None, run_time=None, **kwargs)[source]#

The creation animation of the stream lines.

The stream lines appear in random order.

Parameters:

  • lag_ratio (float | None) – The lag ratio of the animation. If undefined, it will be selected so that the total animation length is 1.5 times the run time of each stream line creation.

  • run_time (Optional[Callable[[float], float]]) – The run time of every single stream line creation. The runtime of the whole animation might be longer due to the lag_ratio. If undefined, the virtual time of the stream lines is used as run time.

Returns:

The creation animation of the stream lines.

Return type:

AnimationGroup

Examples

Example: StreamLineCreation 

from manim import *

class StreamLineCreation(Scene):
    def construct(self):
        func = lambda pos: (pos[0] * UR + pos[1] * LEFT) - pos
        stream_lines = StreamLines(
            func,
            color=YELLOW,
            x_range=[-7, 7, 1],
            y_range=[-4, 4, 1],
            stroke_width=3,
            virtual_time=1,  # use shorter lines
            max_anchors_per_line=5,  # better performance with fewer anchors
        )
        self.play(stream_lines.create())  # uses virtual_time as run_time
        self.wait()

class StreamLineCreation(Scene):
    def construct(self):
        func = lambda pos: (pos[0] * UR + pos[1] * LEFT) - pos
        stream_lines = StreamLines(
            func,
            color=YELLOW,
            x_range=[-7, 7, 1],
            y_range=[-4, 4, 1],
            stroke_width=3,
            virtual_time=1,  # use shorter lines
            max_anchors_per_line=5,  # better performance with fewer anchors
        )
        self.play(stream_lines.create())  # uses virtual_time as run_time
        self.wait()
end_animation()[source]#

End the stream line animation smoothly.

Returns an animation resulting in fully displayed stream lines without a noticeable cut.

Returns:

The animation fading out the running stream animation.

Return type:

AnimationGroup

Raises:

ValueError – if no stream line animation is running

Examples

Example: EndAnimation 

from manim import *

class EndAnimation(Scene):
    def construct(self):
        func = lambda pos: np.sin(pos[0] / 2) * UR + np.cos(pos[1] / 2) * LEFT
        stream_lines = StreamLines(
            func, stroke_width=3, max_anchors_per_line=5, virtual_time=1, color=BLUE
        )
        self.add(stream_lines)
        stream_lines.start_animation(warm_up=False, flow_speed=1.5, time_width=0.5)
        self.wait(1)
        self.play(stream_lines.end_animation())

class EndAnimation(Scene):
    def construct(self):
        func = lambda pos: np.sin(pos[0] / 2) * UR + np.cos(pos[1] / 2) * LEFT
        stream_lines = StreamLines(
            func, stroke_width=3, max_anchors_per_line=5, virtual_time=1, color=BLUE
        )
        self.add(stream_lines)
        stream_lines.start_animation(warm_up=False, flow_speed=1.5, time_width=0.5)
        self.wait(1)
        self.play(stream_lines.end_animation())
start_animation(warm_up=True, flow_speed=1, time_width=0.3, rate_func=<function linear>, line_animation_class=<class 'manim.animation.indication.ShowPassingFlash'>, **kwargs)[source]#

Animates the stream lines using an updater.

The stream lines will continuously flow

Parameters:

  • warm_up (bool) – If True the animation is initialized line by line. Otherwise it starts with all lines shown.

  • flow_speed (float) – At flow_speed=1 the distance the flow moves per second is equal to the magnitude of the vector field along its path. The speed value scales the speed of this flow.

  • time_width (float) – The proportion of the stream line shown while being animated

  • rate_func (Callable[[float], float]) – The rate function of each stream line flashing

  • line_animation_class (type[manim.animation.indication.ShowPassingFlash]) – The animation class being used

Return type:

None

Examples

Example: ContinuousMotion 

from manim import *

class ContinuousMotion(Scene):
    def construct(self):
        func = lambda pos: np.sin(pos[0] / 2) * UR + np.cos(pos[1] / 2) * LEFT
        stream_lines = StreamLines(func, stroke_width=3, max_anchors_per_line=30)
        self.add(stream_lines)
        stream_lines.start_animation(warm_up=False, flow_speed=1.5)
        self.wait(stream_lines.virtual_time / stream_lines.flow_speed)

class ContinuousMotion(Scene):
    def construct(self):
        func = lambda pos: np.sin(pos[0] / 2) * UR + np.cos(pos[1] / 2) * LEFT
        stream_lines = StreamLines(func, stroke_width=3, max_anchors_per_line=30)
        self.add(stream_lines)
        stream_lines.start_animation(warm_up=False, flow_speed=1.5)
        self.wait(stream_lines.virtual_time / stream_lines.flow_speed)