forked from bokeh/bokeh
-
Notifications
You must be signed in to change notification settings - Fork 11
/
MultiLine.py
43 lines (31 loc) · 1.05 KB
/
MultiLine.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
import numpy as np
from bokeh.document import Document
from bokeh.models import ColumnDataSource, DataRange1d, Plot, LinearAxis, Grid
from bokeh.models.glyphs import MultiLine
from bokeh.plotting import show
N = 9
x = np.linspace(-2, 2, N)
y = x**2
xpts = np.array([-.09, -.12, .0, .12, .09])
ypts = np.array([-.1, .02, .1, .02, -.1])
source = ColumnDataSource(dict(
xs=[xpts*(1+i/10.0)+xx for i, xx in enumerate(x)],
ys=[ypts*(1+i/10.0)+yy for i, yy in enumerate(y)],
)
)
xdr = DataRange1d()
ydr = DataRange1d()
plot = Plot(
title=None, x_range=xdr, y_range=ydr, plot_width=300, plot_height=300,
h_symmetry=False, v_symmetry=False, min_border=0, toolbar_location=None)
glyph = MultiLine(xs="xs", ys="ys", line_color="#8073ac", line_width=2)
plot.add_glyph(source, glyph)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
doc = Document()
doc.add(plot)
show(plot)