def __init__(self, *args, **kw):
self.border_visible = kw.get('border_visible', True)
BaseInset.__init__(self, *args, **kw)
LinePlot.__init__(self)
self.y_axis.trait_set(tick_label_formatter=lambda x: '',
tick_visible=False)
def __init__(self, *args, **kw):
self.border_visible = kw.get('border_visible', True)
BaseInset.__init__(self, *args, **kw)
LinePlot.__init__(self)
self.y_axis.trait_set(tick_label_formatter=lambda x: '',
tick_visible=False)
def overlay(self, other_component, gc, view_bounds=None, mode="normal"):
with gc:
gc.clip_to_rect(0, 0, self.component.width, self.component.height)
upts, lpts = self.get_screen_points()
gc.set_line_dash((5, 5))
gc.set_stroke_color((1, 0, 0))
LinePlot._render_normal(gc, upts, '')
LinePlot._render_normal(gc, lpts, '')
def __init__(self, *args, **kw):
self.border_visible = kw.get('border_visible', True)
BaseInset.__init__(self, *args, **kw)
LinePlot.__init__(self)
if not self.visible_axes:
self.x_axis.visible = False
self.y_axis.visible = False
def overlay(self, other_component, gc, view_bounds=None, mode="normal"):
with gc:
gc.clip_to_rect(0, 0, self.component.width, self.component.height)
upts, lpts = self.get_screen_points()
gc.set_line_dash((5, 5))
gc.set_stroke_color((1, 0, 0))
LinePlot._render_normal(gc, upts, '')
LinePlot._render_normal(gc, lpts, '')
def __init__(self, *args, **kw):
self.border_visible = kw.get('border_visible', True)
BaseInset.__init__(self, *args, **kw)
LinePlot.__init__(self)
if not self.visible_axes:
self.x_axis.visible = False
self.y_axis.visible = False
def get_line_plot(render_style):
prices = datasets.fetch_mldata('regression-datasets stock')
x, y = get_data_sources(y=prices['data'][:70, 0])
x_mapper, y_mapper = get_mappers(x, y)
line_plot = LinePlot(index=x,
value=y,
index_mapper=x_mapper,
value_mapper=y_mapper,
render_style=render_style,
**PLOT_DEFAULTS)
add_axes(line_plot, x_label='Days', y_label='Stock price')
return line_plot
def get_line_plot(render_style):
prng = np.random.RandomState(seed=1234)
x_data = np.linspace(0, 10, 50)
y_data = x_data**2 + prng.randn(50)
x, y = get_data_sources(x=x_data, y=y_data)
x_mapper, y_mapper = get_mappers(x, y)
line_plot = LinePlot(index=x,
value=y,
index_mapper=x_mapper,
value_mapper=y_mapper,
render_style=render_style,
**PLOT_DEFAULTS)
add_axes(line_plot, x_label='x', y_label='y')
return line_plot
