散景：绘制大型数据集

Question

I am trying to construct a graph that is very similar to the range_tool.py example

https://docs.bokeh.org/en/latest/docs/gallery/range_tool.html

Instead of using date time data, I have two lists each one is over 40,000 data points long.

Example lists:

b = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] phred = [17, 16, 6, 15, 6, 7, 6, 7, 9, 11, 16, 13, 9, 11, 12, 13, 6, 12, 13, 7] I want to plot b vs p and get the same image visualization as in the above link. The goal is to see the distribution of phred over b. The below code returns a graph but I want to better visualize the variability in phred over b and I am unsure about what settings to tweek so it looks more like the above example.

from bokeh.io import show
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, RangeTool
from bokeh.plotting import figure

p = figure(plot_height=300, plot_width=800, tools="", toolbar_location=None, x_range=(0, 50000))

p.line(b, phred)
p.yaxis.axis_label = 'phred score'

select = figure(plot_height=150, plot_width=800, y_range=p.y_range, y_axis_type=None, tools="", toolbar_location=None)

range_rool = RangeTool(x_range=p.x_range)
range_rool.overlay.fill_color = "navy"
range_rool.overlay.fill_alpha = 0.2

select.line(b, phred)
select.ygrid.grid_line_color = None
select.add_tools(range_rool)
select.toolbar.active_multi = range_rool

show(column(p, select))

Here is my graph

bokeh plot

Answer 1

You are using "p" as name for the figure and one of your data lists!

You have to pass the list objects, not their names as strings.

Try:

b = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
c = [17, 16, 6, 15, 6, 7, 6, 7, 9, 11, 16, 13, 9, 11, 12, 13, 6, 12, 13, 7]
p.line(b, c)

Answer 2

After playing around I found out the simple fix to better see the data was in line 1

setting the plot's first x_range to a smaller number x_range=(0, 2000)

This setting improves the plot improved bokeh plot

If anyone has any suggestions on how to view such variable data please share