我试图生成两个参数函数的图,其中一个用作x_axis,另一个用于绘制n条曲线,在最小值和最大值之间改变参数。
以下代码有效:
import numpy as np
import bokeh
from bokeh.plotting import figure
from bokeh.io import push_notebook, show, output_notebook
output_notebook()
x = np.linspace(0,10,100)
f = figure()
fmin=1
fmax=3
nfreq=4
freq=np.linspace(fmin,fmax,nfreq)
for i in freq:
y = np.sin(i*x)
f.line(x,y)
show(f)
现在我想有3个滑块以交互方式改变fmin,fmax和nfreq。我无法弄清楚如何做到这一点......
谢谢你的帮助
此示例适用于Bokeh v1.0.4。运行方式:bokeh serve --show app.py
app.py的内容:
import numpy as np
from bokeh.models import Slider, Row, Column
from bokeh.plotting import figure, show, curdoc
from bokeh.models.sources import ColumnDataSource
plot = figure()
layout = Column(plot)
sources, lines = {}, {}
def get_x(n): return [np.linspace(0, 10, 100) for i in range(n)]
def get_y(n): return [np.sin(i * np.linspace(0, 10, 100)) for i in n]
def update(attr, old, new):
update_sources(layout.children[-3].value, layout.children[-2].value, layout.children[-1].value)
def update_sources(fmin, fmax, nfreq):
freq = np.linspace(fmin, fmax, nfreq)
for f, x, y in zip(freq, get_x(len(freq)), get_y(freq)):
data = {'x': x, 'y': y}
if f not in sources:
sources[f] = ColumnDataSource(data)
line = plot.line('x', 'y', source = sources[f])
lines[f] = line
else:
sources[f].data = data
for line in lines:
lines[line].visible = (False if line not in freq else True)
for txt, max in zip(['fmin', 'fmax', 'nfreq'], [3, 4, 5]):
slider = Slider(start = 1, end = max, value = 1, title = txt)
slider.on_change('value', update)
layout.children.append(slider)
update_sources(layout.children[-3].value, layout.children[-2].value, layout.children[-1].value)
[plot.line('x', 'y', source = sources[idx]) for idx in sources]
curdoc().add_root(layout)