通过查看源代码,发现原来figure是一个函数,返回值为Figure类,Figure类以来自bokeh.models中的Plot类为父类,Figure类继承了Plot类中的各种属性。 from ..models import ColumnDataSource, Plot, Title, Tool, GraphRenderer class Figure(Plot): 省略... def figure(**kwargs): ''' Create a new :class:`~bo...
Bokeh 是一个 Python 交互式数据可视化工具。它使用 HTML 和 JavaScript 来渲染它的图。它以现代网络浏览器为呈现目标,提供优雅、简洁的新颖图形结构和高性能交互性。 ploting . figure . multi _ line() 一次性设置所有 alpha 关键字参数
比如一个指标就是一个对象,它会自带默认的plotinfo(控制这个指标整体的绘图) 和plotlines(控制每条 lines 的绘图)。该配置对应plotinfo Options affecting the plotting behavior of individual lines:该配置对应绘图对象的plotlines配置 Options affecting the SYSTEM wide plotting options:Backtrader 最上层的配置和某个主...
linspace(-5, 5, 41), vertical_xlabel=True, hovertool=False, title="Normal distributions (Top-on-Top)", line_color="black") #Side-by-Side Histogram (multiple bars share bin side-by-side) also accessible via #kind="hist": df_hist.plot_bokeh( kind="hist", bins=np.linspace(-5, 5,...
多条直线-Multiple Lines 有时候需要在同一图形中展示多条曲线,这时可以用multi_line()函数: from bokeh.plotting import figure, output_file, show output_file("patch.html") p = figure(plot_width=400, plot_height=400) p.multi_line([[1, 3, 2], [3, 4, 6, 6]], [[2, 1, 4], [4, ...
plot = figure(title=self.title, x_range=xdr, y_range=ydr, plot_width=self.width, plot_height=self.height, h_symmetry=False, v_symmetry=False, tools=[], responsive=True) forlinself.lines_list: l.create_line_plot(plot,self.x_name,self.y_name) ...
}, grid: { left: "10%", right: "2%",
plot %>% tool_hover( ref_layer = "points", callback = custom_callback( lnames = c("points", "rects", "text"), args = list(links = linkages), Let’s start with the actual JS code. In the first two lines, I invoke a debugger that makes it easier to develop and debug the ...
How to plot step line ? Plotting with Basic Glyphs — Bokeh 1.0.4 documentation https://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#step-lines For some kinds of data, it may be more appropriate to draw discrete steps between data points, instead of connecting points with linea...
(warriors_data) # Create and configure the figure fig = figure(x_axis_type='datetime', plot_height=300, plot_width=600, title='Western Conference Top 2 Teams Wins Race, 2017-18', x_axis_label='Date', y_axis_label='Wins', toolbar_location=None) # Render the race as step lines ...