本文整理匯總了Python中mobject.vectorized_mobject.VGroup.df_line方法的典型用法代碼示例。如果您正苦於以下問題：Python VGroup.df_line方法的具體用法？Python VGroup.df_line怎麽用？Python VGroup.df_line使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類mobject.vectorized_mobject.VGroup的用法示例。
在下文中一共展示了VGroup.df_line方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: get_secant_slope_group
# 需要導入模塊: from mobject.vectorized_mobject import VGroup [as 別名]
# 或者: from mobject.vectorized_mobject.VGroup import df_line [as 別名]
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.highlight(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.highlight(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