3b1b-manim/mobject/function_graphs.py

192 lines
6.6 KiB
Python

import numpy as np
import itertools as it
from mobject import Mobject, Mobject1D, Mobject2D, CompoundMobject
from image_mobject import tex_mobject
from constants import *
from helpers import *
class FunctionGraph(Mobject1D):
DEFAULT_COLOR = "lightblue"
def __init__(self, function, x_range = [-10, 10], *args, **kwargs):
self.function = function
self.x_min = x_range[0] / SPACE_WIDTH
self.x_max = x_range[1] / SPACE_WIDTH
Mobject1D.__init__(self, *args, **kwargs)
def generate_points(self):
scale_factor = 2.0 * SPACE_WIDTH / (self.x_max - self.x_min)
self.epsilon /= scale_factor
self.add_points([
np.array([x, self.function(x), 0])
for x in np.arange(self.x_min, self.x_max, self.epsilon)
])
self.scale(scale_factor)
class ParametricFunction(Mobject):
DEFAULT_COLOR = "white"
def __init__(self,
function,
dim = 1,
expected_measure = 10.0,
density = None,
*args,
**kwargs):
self.function = function
self.dim = dim
self.expected_measure = expected_measure
if density:
self.epsilon = 1.0 / density
elif self.dim == 1:
self.epsilon = 1.0 / expected_measure / DEFAULT_POINT_DENSITY_1D
else:
self.epsilon = 1.0 / np.sqrt(expected_measure) / DEFAULT_POINT_DENSITY_2D
Mobject.__init__(self, *args, **kwargs)
def generate_points(self):
if self.dim == 1:
self.add_points([
self.function(t)
for t in np.arange(-1, 1, self.epsilon)
])
if self.dim == 2:
self.add_points([
self.function(s, t)
for t in np.arange(-1, 1, self.epsilon)
for s in np.arange(-1, 1, self.epsilon)
])
class Grid(Mobject1D):
DEFAULT_COLOR = "green"
def __init__(self,
radius = max(SPACE_HEIGHT, SPACE_WIDTH),
interval_size = 1.0,
subinterval_size = 0.5,
*args, **kwargs):
self.radius = radius
self.interval_size = interval_size
self.subinterval_size = subinterval_size
Mobject1D.__init__(self, *args, **kwargs)
def generate_points(self):
self.add_points([
(sgns[0] * x, sgns[1] * y, 0)
for beta in np.arange(0, self.radius, self.interval_size)
for alpha in np.arange(0, self.radius, self.epsilon)
for sgns in it.product((-1, 1), (-1, 1))
for x, y in [(alpha, beta), (beta, alpha)]
])
if self.subinterval_size:
si = self.subinterval_size
color = Color(self.color)
color.set_rgb([x/2 for x in color.get_rgb()])
self.add_points([
(sgns[0] * x, sgns[1] * y, 0)
for beta in np.arange(0, self.radius, si)
if abs(beta % self.interval_size) > self.epsilon
for alpha in np.arange(0, self.radius, self.epsilon)
for sgns in it.product((-1, 1), (-1, 1))
for x, y in [(alpha, beta), (beta, alpha)]
], color = color)
class NumberLine(Mobject1D):
def __init__(self,
radius = SPACE_WIDTH,
unit_length_to_spacial_width = 1,
tick_size = 0.1,
tick_frequency = 0.5,
number_at_center = 0,
numbers_with_elongated_ticks = [0],
longer_tick_multiple = 2,
**kwargs):
#TODO, There must be better (but still safe) way to add all
#these config arguments as attributes.
self.radius = radius
self.unit_length_to_spacial_width = unit_length_to_spacial_width
self.tick_size = tick_size
self.tick_frequency = tick_frequency
self.numbers_with_elongated_ticks = numbers_with_elongated_ticks
self.number_at_center = number_at_center
self.longer_tick_multiple = longer_tick_multiple
numerical_radius = float(radius) / unit_length_to_spacial_width
self.left_num = number_at_center - numerical_radius
self.right_num = number_at_center + numerical_radius
Mobject1D.__init__(self, **kwargs)
def generate_points(self):
self.add_points([
(b*x, 0, 0)
for x in np.arange(0, self.radius, self.epsilon)
for b in [-1, 1]
])
self.index_of_left = np.argmin(self.points[:,0])
self.index_of_right = np.argmax(self.points[:,0])
spacial_tick_frequency = self.tick_frequency*self.unit_length_to_spacial_width
self.add_points([
(b*x, y, 0)
for x in np.arange(0, self.radius, spacial_tick_frequency)
for y in np.arange(-self.tick_size, self.tick_size, self.epsilon)
for b in ([1, -1] if x > 0 else [1])
])
for number in self.numbers_with_elongated_ticks:
self.elongate_tick_at(number, self.longer_tick_multiple)
def elongate_tick_at(self, number, multiple = 2):
x = self.number_to_point(number)[0]
self.add_points([
[x, y, 0]
for y in np.arange(
-multiple*self.tick_size,
multiple*self.tick_size,
self.epsilon
)
])
return self
def number_to_point(self, number):
return interpolate(
self.points[self.index_of_left],
self.points[self.index_of_right],
float(number-self.left_num)/(self.right_num - self.left_num)
)
def add_numbers(self, *numbers):
if len(numbers) == 0:
numbers = range(int(self.left_num), int(self.right_num+1))
for number in numbers:
mob = tex_mobject(str(number)).scale(0.5)
mob.shift(self.number_to_point(number))
mob.shift(DOWN*4*self.tick_size)
self.add(mob)
return self
class UnitInterval(NumberLine):
DEFAULT_CONFIG = {
"radius" : SPACE_WIDTH-1,
"unit_length_to_spacial_width" : 2*(SPACE_WIDTH-1),
"tick_frequency" : 0.1,
"number_at_center" : 0.5,
"numbers_with_elongated_ticks" : [0, 1],
}
def __init__(self, **kwargs):
config = self.DEFAULT_CONFIG
config.update(kwargs)
NumberLine.__init__(self, **config)
class Axes(CompoundMobject):
def __init__(self, *args, **kwargs):
x_axis = NumberLine(*args, **kwargs)
y_axis = NumberLine(*args, **kwargs).rotate(np.pi/2, OUT)
CompoundMobject.__init__(self, x_axis, y_axis)