def scroll_through_patrons(self):
logo_box = Square(side_length=2.5)
logo_box.to_corner(DOWN + LEFT, buff=MED_LARGE_BUFF)
total_width = FRAME_X_RADIUS - logo_box.get_right()[0]
black_rect = Rectangle(
fill_color=BLACK,
fill_opacity=1,
stroke_width=3,
stroke_color=BLACK,
width=FRAME_WIDTH,
height=0.6 * FRAME_HEIGHT,
)
black_rect.to_edge(UP, buff=0)
line = DashedLine(FRAME_X_RADIUS * LEFT, FRAME_X_RADIUS * RIGHT)
line.move_to(ORIGIN)
thanks = TextMobject("Funded by the community, with special thanks to:")
thanks.scale(0.9)
thanks.next_to(black_rect.get_bottom(), UP, SMALL_BUFF)
thanks.set_color(YELLOW)
underline = Line(LEFT, RIGHT)
underline.set_width(thanks.get_width() + MED_SMALL_BUFF)
underline.next_to(thanks, DOWN, SMALL_BUFF)
thanks.add(underline)
patrons = VGroup(*list(map(TextMobject, self.specific_patrons)))
patrons.scale(self.patron_scale_val)
for patron in patrons:
if patron.get_width() > self.max_patron_width:
patron.set_width(self.max_patron_width)
columns = VGroup(*[
VGroup(*patrons[i::self.n_patron_columns])
for i in range(self.n_patron_columns)
])
for column in columns:
for n, name in enumerate(column):
name.shift(n * self.name_y_spacing * DOWN)
columns.arrange_submobjects(
RIGHT, buff=LARGE_BUFF,
aligned_edge=UP,
)
if columns.get_width() > self.max_patron_width:
columns.set_width(total_width - 1)
thanks.to_edge(RIGHT)
columns.next_to(thanks, DOWN, 3 * LARGE_BUFF)
self.add(columns, black_rect, line, thanks)
self.play(
columns.move_to, 2 * DOWN, DOWN,
columns.align_to, thanks, {"alignment_vect": RIGHT},
rate_func=None,
run_time=self.run_time,
)
def get_secant_slope_group(
self,
x,
graph,
dx=None,
dx_line_color=None,
df_line_color=None,
dx_label=None,
df_label=None,
include_secant_line=True,
secant_line_color=None,
secant_line_length=10,
):
"""
Resulting group is of the form VGroup(
dx_line,
df_line,
dx_label, (if applicable)
df_label, (if applicable)
secant_line, (if applicable)
)
with attributes of those names.
"""
kwargs = locals()
kwargs.pop("self")
group = VGroup()
group.kwargs = kwargs
dx = dx or float(self.x_max - self.x_min) / 10
dx_line_color = dx_line_color or self.default_input_color
df_line_color = df_line_color or graph.get_color()
p1 = self.input_to_graph_point(x, graph)
p2 = self.input_to_graph_point(x + dx, graph)
interim_point = p2[0] * RIGHT + p1[1] * UP
group.dx_line = Line(p1, interim_point, color=dx_line_color)
group.df_line = Line(interim_point, p2, color=df_line_color)
group.add(group.dx_line, group.df_line)
labels = VGroup()
if dx_label is not None:
group.dx_label = TexMobject(dx_label)
labels.add(group.dx_label)
group.add(group.dx_label)
if df_label is not None:
group.df_label = TexMobject(df_label)
labels.add(group.df_label)
group.add(group.df_label)
if len(labels) > 0:
max_width = 0.8 * group.dx_line.get_width()
max_height = 0.8 * group.df_line.get_height()
if labels.get_width() > max_width:
labels.scale_to_fit_width(max_width)
if labels.get_height() > max_height:
labels.scale_to_fit_height(max_height)
if dx_label is not None:
group.dx_label.next_to(group.dx_line,
np.sign(dx) * DOWN,
buff=group.dx_label.get_height() / 2)
group.dx_label.set_color(group.dx_line.get_color())
if df_label is not None:
group.df_label.next_to(group.df_line,
np.sign(dx) * RIGHT,
buff=group.df_label.get_height() / 2)
group.df_label.set_color(group.df_line.get_color())
if include_secant_line:
secant_line_color = secant_line_color or self.default_derivative_color
group.secant_line = Line(p1, p2, color=secant_line_color)
group.secant_line.scale_in_place(secant_line_length /
group.secant_line.get_length())
group.add(group.secant_line)
return group
