diff options
Diffstat (limited to 'FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions')
11 files changed, 0 insertions, 473 deletions
diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/Scalar_Function_Quiz.pdf b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/Scalar_Function_Quiz.pdf Binary files differdeleted file mode 100644 index 6d94a2c..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/Scalar_Function_Quiz.pdf +++ /dev/null diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/domain_range.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/domain_range.gif Binary files differdeleted file mode 100644 index d0351e5..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/domain_range.gif +++ /dev/null diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_application.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_application.gif Binary files differdeleted file mode 100644 index 831ec8e..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_application.gif +++ /dev/null diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_level_curves.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_level_curves.gif Binary files differdeleted file mode 100644 index 2df2fde..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_level_curves.gif +++ /dev/null diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_level_curves2.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_level_curves2.gif Binary files differdeleted file mode 100644 index 724c27d..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_level_curves2.gif +++ /dev/null diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_neural_nets.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_neural_nets.gif Binary files differdeleted file mode 100644 index 9d24688..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_neural_nets.gif +++ /dev/null diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_parabola_example.gif b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_parabola_example.gif Binary files differdeleted file mode 100644 index 3fdecf4..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/gifs/scalar_function_parabola_example.gif +++ /dev/null diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_application.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_application.py deleted file mode 100644 index 56b3e53..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_application.py +++ /dev/null @@ -1,129 +0,0 @@ -from manimlib.imports import *
-
-class ScalarApplication(ThreeDScene):
- def construct(self):
- axes = ThreeDAxes() # creates a 3D Axis
-
- cube = Cube()
- cube.set_fill(YELLOW_E, opacity = 0.1)
- cube.scale(2)
- self.set_camera_orientation(phi=0 * DEGREES,theta=270*DEGREES)
- self.play(ShowCreation(cube),ShowCreation(axes))
-
- dot = Sphere()
- dot.scale(0.1)
- dot.move_to(np.array([1,0.5,1]))
- dot.set_fill(RED)
-
- #dot = Dot(np.array([1,0.5,1]), color = RED)
- temp_func = TextMobject("T(x,y,z)")
- temp_func.next_to(dot,RIGHT)
- temp_func.set_color(RED)
- temp_func_trans = TextMobject("T(1,0.5,1)")
- temp_func_trans.next_to(dot,RIGHT)
- temp_func_trans.set_color(RED)
- temp = TextMobject(r"$36 ^\circ$")
- temp.next_to(dot,RIGHT)
- temp.set_color(RED_E)
-
-
- self.play(ShowCreation(dot))
- self.play(ShowCreation(temp_func))
- self.play(Transform(temp_func, temp_func_trans))
- self.wait(1)
- self.play(Transform(temp_func, temp))
-
-
-
-
- dot1 = Sphere()
- dot1.scale(0.1)
- dot1.move_to(np.array([-1,-0.8,-1.5]))
- dot1.set_fill(BLUE_E)
- #dot1 = Dot(np.array([-1,-0.8,-1.5]), color = BLUE)
- temp_func1 = TextMobject("T(x,y,z)")
- temp_func1.next_to(dot1,LEFT)
- temp_func1.set_color(BLUE)
- temp_func_trans1 = TextMobject("T(-1,-0.8,-1.5)")
- temp_func_trans1.next_to(dot1,LEFT)
- temp_func_trans1.set_color(BLUE)
- temp1 = TextMobject(r"$24 ^\circ$")
- temp1.next_to(dot1,LEFT)
- temp1.set_color(BLUE)
-
- self.play(ShowCreation(dot1))
- self.play(ShowCreation(temp_func1))
- self.play(Transform(temp_func1, temp_func_trans1))
- self.wait(1)
- self.play(Transform(temp_func1, temp1))
-
- self.play(FadeOut(temp_func))
- self.play(FadeOut(temp_func1))
-
-
- self.move_camera(phi=80* DEGREES,theta=45*DEGREES,run_time=3)
-
- self.begin_ambient_camera_rotation(rate=0.2)
- self.wait(4)
- self.stop_ambient_camera_rotation()
- self.wait(2)
-
-
-
-
-class AddTempScale(Scene):
- def construct(self):
- temp_scale = ImageMobject("tempscale.png")
- temp_scale.scale(4)
- temp_scale.move_to(2*RIGHT)
- self.play(ShowCreation(temp_scale))
-
-
- temp_func = TextMobject("T(x,y,z)")
- temp_func.move_to(3*UP +2*LEFT)
- temp_func.set_color(RED)
- temp_func_trans = TextMobject("T(1,0.5,1)")
- temp_func_trans.move_to(3*UP +2*LEFT)
- temp_func_trans.set_color(RED)
- temp = TextMobject(r"$36 ^\circ$")
- temp.set_color(RED)
- temp.move_to(3*UP +2*LEFT)
- temp.scale(0.7)
-
- self.play(ShowCreation(temp_func))
- self.play(Transform(temp_func, temp_func_trans))
- self.wait(1)
- self.play(Transform(temp_func, temp))
- self.play(ApplyMethod(temp_func.move_to, 1.8*UP +1.8*RIGHT))
-
-
- temp_func1 = TextMobject("T(x,y,z)")
- temp_func1.move_to(2*UP +2*LEFT)
- temp_func1.set_color(BLUE)
- temp_func_trans1 = TextMobject("T(-1,-0.8,-1.5)")
- temp_func_trans1.move_to(2*UP +2*LEFT)
- temp_func_trans1.set_color(BLUE)
- temp1 = TextMobject(r"$24 ^\circ$")
- temp1.set_color(BLUE)
- temp1.move_to(2*UP +2*LEFT)
- temp1.scale(0.7)
-
- self.play(ShowCreation(temp_func1))
- self.play(Transform(temp_func1, temp_func_trans1))
- self.wait(1)
- self.play(Transform(temp_func1, temp1))
- self.play(ApplyMethod(temp_func1.move_to, 0.6*UP +1.8*RIGHT))
-
-
-
- transtext = TextMobject("Scalar Function Transform:")
- transtext.set_color(GREEN)
- transtext1 = TextMobject(r"$\mathbb{R}^3 \rightarrow \mathbb{R}$")
- transtext1.set_color(YELLOW_E)
- transtext.move_to(3*UP +3*LEFT)
- transtext1.next_to(transtext,DOWN)
- self.play(Write(transtext))
- self.play(Write(transtext1))
- self.wait(2)
-
-
diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_domain_range.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_domain_range.py deleted file mode 100644 index 9b1ca7b..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_domain_range.py +++ /dev/null @@ -1,132 +0,0 @@ -# Plotting Graphs
-from manimlib.imports import *
-
-class PlotGraphs(GraphScene):
- CONFIG = {
- "x_min": -5,
- "x_max": 5,
- "y_min": 0,
- "y_max": 4,
- "graph_origin": ORIGIN + 2.5* DOWN,
- "x_labeled_nums": list(range(-5, 6)),
- "y_labeled_nums": list(range(0, 5)),
- }
- def construct(self):
-
- topic = TextMobject("Domain and Range")
- topic.scale(2)
- topic.set_color(YELLOW)
- self.play(Write(topic))
- self.play(FadeOut(topic))
- self.wait(1)
-
-
- XTD = self.x_axis_width/(self.x_max- self.x_min)
- YTD = self.y_axis_height/(self.y_max- self.y_min)
-
- self.setup_axes(animate = True)
-
- graphobj = self.get_graph(lambda x : np.sqrt(x + 4), x_min = -4, x_max = 5)
- graph_lab = self.get_graph_label(graphobj, label = r"\sqrt{x + 4}")
-
-
- rangeline1 = Arrow(self.graph_origin+2.2*YTD*UP+5*XTD*LEFT, self.graph_origin+4.1*YTD*UP+5*XTD*LEFT)
- rangeline2 = Arrow(self.graph_origin+1.7*YTD*UP+5*XTD*LEFT, self.graph_origin+5*XTD*LEFT)
- rangeline1.set_color(RED)
- rangeline2.set_color(RED)
-
- rangeMsg = TextMobject(r"Range: $y \geq 0$")
- rangeMsg.move_to(self.graph_origin+2*YTD*UP+5*XTD*LEFT)
- rangeMsg.scale(0.5)
- rangeMsg.set_color(YELLOW)
-
- domainline1 = Line(self.graph_origin+0.6*YTD*DOWN+1.2*XTD*LEFT, self.graph_origin+0.6*YTD*DOWN + 4*XTD*LEFT)
- domainline2 = Arrow(self.graph_origin+0.6*YTD*DOWN+1.1*XTD*RIGHT, self.graph_origin+0.6*YTD*DOWN + 5.3*XTD*RIGHT)
- domainline1.set_color(PINK)
- domainline2.set_color(PINK)
-
- domainMsg = TextMobject(r"Domain: $x \geq -4$")
- domainMsg.move_to(self.graph_origin+0.6*YTD*DOWN)
- domainMsg.scale(0.5)
- domainMsg.set_color(GREEN)
-
-
-
-
- self.play(ShowCreation(graphobj))
- self.play(ShowCreation(graph_lab))
- self.wait(1)
- self.play(GrowArrow(rangeline1))
- self.play(GrowArrow(rangeline2))
- self.play(Write(rangeMsg))
- self.wait(1)
- self.play(GrowArrow(domainline1))
- self.play(GrowArrow(domainline2))
- self.play(Write(domainMsg))
- self.wait(3)
-
- self.wait(2)
-
-
-
-
-class PlotSineGraphs(GraphScene):
- CONFIG = {
- "x_min": -8,
- "x_max": 8,
- "y_min": -1,
- "y_max": 1,
- "graph_origin": ORIGIN,
- "x_labeled_nums": list(range(-8, 9)),
- "y_labeled_nums": list(range(-1, 2)),
- }
- def construct(self):
-
-
-
- XTD = self.x_axis_width/(self.x_max- self.x_min)
- YTD = self.y_axis_height/(self.y_max- self.y_min)
-
- self.setup_axes(animate = True)
-
- sineobj = self.get_graph(lambda x : np.sin(x), x_min = -7, x_max = 8)
- sine_lab = self.get_graph_label(sineobj, label = "\\sin(x)")
-
-
- rangeline1 = Line(8*XTD*LEFT,1*YTD*UP+8*XTD*LEFT)
- rangeline2 = Line(8*XTD*LEFT,1*YTD*DOWN+8*XTD*LEFT)
- rangeline1.set_color(RED)
- rangeline2.set_color(RED)
-
- rangeMsg = TextMobject(r"Range: $-1 \leq y \leq 1$")
- rangeMsg.move_to(1.1*YTD*UP+8.5*XTD*LEFT)
- rangeMsg.scale(0.5)
- rangeMsg.set_color(YELLOW)
-
-
- domainline1 = Arrow(1.1*YTD*DOWN+2*XTD*LEFT, 1.1*YTD*DOWN + 8.5*XTD*LEFT)
- domainline2 = Arrow(1.1*YTD*DOWN+2*XTD*RIGHT, 1.1*YTD*DOWN + 8.5*XTD*RIGHT)
- domainline1.set_color(PINK)
- domainline2.set_color(PINK)
-
- domainMsg = TextMobject(r"Domain: $[-\infty, \infty]$")
- domainMsg.move_to(1.1*YTD*DOWN)
- domainMsg.scale(0.5)
- domainMsg.set_color(GREEN)
-
-
-
- self.play(ShowCreation(sineobj))
- self.play(ShowCreation(sine_lab))
- self.wait(1)
- self.play(GrowArrow(rangeline1))
- self.play(GrowArrow(rangeline2))
- self.play(Write(rangeMsg))
- self.wait(1)
- self.play(GrowArrow(domainline1))
- self.play(GrowArrow(domainline2))
- self.play(Write(domainMsg))
- self.wait(3)
-
-
-
\ No newline at end of file diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_neural_nets.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_neural_nets.py deleted file mode 100644 index eb6bf45..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_neural_nets.py +++ /dev/null @@ -1,177 +0,0 @@ -from manimlib.imports import *
-
-class SigmoidFunc(GraphScene):
- CONFIG = {
- "x_min": -4,
- "x_max": 4,
- "y_min": -1,
- "y_max": 1,
- "graph_origin": ORIGIN + 0.8*DOWN,
- "x_labeled_nums": list(range(-4, 5)),
- "y_labeled_nums": list(range(-1, 2)),
- "y_axis_height": 4.5,
- }
- def construct(self):
- XTD = self.x_axis_width/(self.x_max- self.x_min)
- YTD = self.y_axis_height/(self.y_max- self.y_min)
-
- topic = TextMobject("Sigmoid Function")
- topic.move_to(3.2*UP)
- topic.set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
-
- self.setup_axes(animate = True)
- sigmoid_func = self.get_graph(lambda x : (1/(1 + np.exp(-x))), x_min = -4, x_max = 4)
- sigmoid_lab = self.get_graph_label(sigmoid_func, label = r"\frac{1}{1 + e^{-z}}")
-
-
-
-
- self.play(ShowCreation(sigmoid_func),Write(sigmoid_lab))
- self.play(Write(topic))
- self.wait(2)
- self.play(FadeOut(sigmoid_func), FadeOut(sigmoid_lab))
- self.wait(1)
-
-
-
-class NeuralNet(GraphScene):
- def construct(self):
-
- sigmoid_exp = TextMobject(r"g(z) = g($\theta^T$ X) = $\frac{1}{1 + e^{-z}}$")
- sigmoid_exp.move_to(3*UP + 4*LEFT)
- sigmoid_exp.scale(0.8)
- sigmoid_exp.set_color(BLUE)
- sigmoid_exp1 = TextMobject(r"Predict: 'y = 1'",r"When g(z) $\geq$ 0.5, z $\geq$ 0, $\theta^T$ X $\geq$ 0")
- sigmoid_exp2 = TextMobject(r"Predict: 'y = 0'", r"When g(z) $\leq$ 0.5, z $\leq$ 0, $\theta^T$ X $\leq$ 0")
- sigmoid_exp1.scale(0.5)
- sigmoid_exp2.scale(0.5)
- sigmoid_exp1.set_color(PURPLE)
- sigmoid_exp2.set_color(PURPLE)
-
- sigmoid_exp1[0].next_to(sigmoid_exp, 1.5*DOWN)
- sigmoid_exp1[1].next_to(sigmoid_exp1[0], DOWN)
- sigmoid_exp2[0].next_to(sigmoid_exp1[1], 1.5*DOWN)
- sigmoid_exp2[1].next_to(sigmoid_exp2[0], DOWN)
-
-
- self.play(Write(sigmoid_exp))
- self.play(Write(sigmoid_exp1[0]), Write(sigmoid_exp1[1]))
- self.play(Write(sigmoid_exp2[0]), Write(sigmoid_exp2[1]))
- self.wait(2)
-
-
- neuron1 = Circle()
- neuron1.set_fill(YELLOW_A, opacity = 0.5)
-
- neuron2 = Circle()
- neuron2.set_fill(ORANGE, opacity = 0.5)
-
- neuron3 = Circle()
- neuron3.set_fill(GREEN_E, opacity = 0.5)
-
- neuron1.move_to(2*UP+RIGHT)
- neuron2.move_to(2*DOWN+RIGHT)
- neuron3.move_to(4*RIGHT)
-
- arrow1 = Arrow(neuron1.get_right(),neuron3.get_left(),buff=0.1)
- arrow1.set_color(RED)
- arrow2 = Arrow(neuron2.get_right(),neuron3.get_left(),buff=0.1)
- arrow2.set_color(RED)
-
- arrow3 = Arrow(neuron3.get_right(),7*RIGHT,buff=0.1)
- arrow3.set_color(RED)
-
-
- sign1 = TextMobject("+1")
- sign1.move_to(2*UP+RIGHT)
- sign1.scale(2)
- sign2 = TextMobject(r"$x_1$")
- sign2.move_to(2*DOWN+RIGHT)
- sign2.scale(2)
- sign3 = TextMobject(r"$h_{\theta}(x)$")
- sign3.move_to(6*RIGHT+0.4*DOWN)
- sign3.scale(0.7)
- sign4 = TextMobject(r"$= g(10 - 20x_1)$")
- sign4.next_to(sign3,DOWN)
- sign4.scale(0.5)
- sign5 = TextMobject(r"$= g(10 - 20x_1)$")
- sign5.next_to(sign3,DOWN)
- sign5.scale(0.5)
- sign6 = TextMobject(r"$= g(10 - 20x_1)$")
- sign6.next_to(sign3,DOWN)
- sign6.scale(0.5)
-
-
- weight1 = TextMobject("10")
- weight1.next_to(arrow1,UP)
- weight2 = TextMobject("-20")
- weight2.next_to(arrow2,DOWN)
-
- gate = TextMobject("NOT GATE")
- gate.set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
- gate.scale(1.5)
- gate.move_to(3*RIGHT+3.5*UP)
-
-
-
- truth_table = TextMobject(r"\begin{displaymath}\begin{array}{|c|c|} x & y\\ \hline 1 & 0 \\0 & 1 \\\end{array}\end{displaymath}")
- truth_table.next_to(sigmoid_exp2[1], 3*DOWN)
-
- values = TextMobject("1", "0")
- values.scale(2)
-
- sign4_trans1 = TextMobject(r"$= g(10 - 20(1))$")
- sign4_trans2 = TextMobject(r"$= g(10 - 20(0))$")
- sign4_trans1.next_to(sign3,DOWN)
- sign4_trans2.next_to(sign3,DOWN)
- sign4_trans1.scale(0.5)
- sign4_trans2.scale(0.5)
-
-
-
- output1 = TextMobject("y = 0")
- output2 = TextMobject("y = 1")
- output1.next_to(sign4,DOWN)
- output2.next_to(sign4,DOWN)
- output1.scale(1.5)
- output2.scale(1.5)
-
-
-
- self.play(ShowCreation(neuron1),ShowCreation(neuron2))
- self.play(ShowCreation(neuron3))
- self.play(ShowCreation(sign1),ShowCreation(sign2))
- self.wait(1)
-
- self.play(GrowArrow(arrow1))
- self.play(GrowArrow(arrow2))
- self.play(ShowCreation(weight1),ShowCreation(weight2))
-
-
-
- self.play(GrowArrow(arrow3))
- self.play(Write(sign3),Write(sign4))
-
- self.play(Write(gate))
- self.play(ShowCreation(truth_table))
-
- self.play(ApplyMethod(values[0].move_to, 2*DOWN+RIGHT))
- self.play(FadeOut(values[0]))
- self.play(Transform(sign4,sign4_trans1))
- self.play(Write(output1))
- self.wait(1)
- self.play(FadeOut(output1))
- self.play(Transform(sign4, sign5))
-
-
- self.play(ApplyMethod(values[1].move_to, 2*DOWN+RIGHT))
- self.play(FadeOut(values[1]))
- self.play(Transform(sign4,sign4_trans2))
- self.play(Write(output2))
- self.wait(1)
- self.play(FadeOut(output2))
- self.play(Transform(sign4, sign6))
-
- self.wait(2)
-
-
diff --git a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_parabola_example.py b/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_parabola_example.py deleted file mode 100644 index 74dc063..0000000 --- a/FSF-2020/calculus-of-several-variables/multivariable-functions-and-paritial-derivatives/Scalar Functions/scalar_function_parabola_example.py +++ /dev/null @@ -1,35 +0,0 @@ -from manimlib.imports import *
-
-class Parabola(ThreeDScene):
- def construct(self):
- axes = ThreeDAxes() # creates a 3D Axis
-
- paraboloid = ParametricSurface(
- lambda u, v: np.array([
- 2*np.cosh(u)*np.cos(v),
- 2*np.cosh(u)*np.sin(v),
- 2*np.sinh(u)
- ]),v_min=0,v_max=TAU,u_min=0,u_max=2,checkerboard_colors=[YELLOW_D, YELLOW_E],
- resolution=(15, 32))
-
- text3d = TextMobject(r"Plot of $f: \mathbb{R}^2 \rightarrow \mathbb{R}$", "z = f(x,y)")
- self.add_fixed_in_frame_mobjects(text3d)
- text3d[0].move_to(4*LEFT+2*DOWN)
- text3d[1].next_to(text3d[0], DOWN)
- text3d[0].set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE, PURPLE)
- text3d[1].set_color_by_gradient(RED, ORANGE, YELLOW, GREEN, BLUE)
-
- #self.set_camera_orientation(phi=0 * DEGREES,theta=270*DEGREES)
- self.move_camera(phi=110* DEGREES,theta=45*DEGREES)
- self.add(axes)
- self.play(ShowCreation(paraboloid))
- self.play(Write(text3d[0]))
- self.play(Write(text3d[1]))
- self.begin_ambient_camera_rotation(rate=0.2)
- self.wait(3)
- self.move_camera(phi=0 * DEGREES,theta=180*DEGREES,run_time=3)
- self.wait(3)
- self.move_camera(phi=110* DEGREES,theta=90*DEGREES,run_time=3)
- self.wait(3)
-
-
\ No newline at end of file |
