Hi,
I’m trying to plot real time data with a bokeh app. The below code does not work. Need some more understanding of what is it that I’m missing.
My code -
from numpy import pi
from random import shuffle
from bokeh.client import push_session
from bokeh.plotting import figure, curdoc
x = [1,2,3]
y = [10,20,30]
p = figure()
# r1 = p.line([0, 4*pi], [-1, 1], color="firebrick")
r2 = p.line(x, y, color="navy", line_width=4)
# open a session to keep our local document in sync with server
session = push_session(curdoc())
def update():
r2.data_source.data["y"] = shuffle(y)
# r2.glyph.line_alpha = 1 - 0.8 * abs(step)
curdoc().add_periodic_callback(update, 50)
session.show() # open the document in a browser
session.loop_until_closed() # run forever
Here is the original code from Bokeh Docs which works absolutely fine.
import numpy as np
from numpy import pi
from bokeh.client import push_session
from bokeh.driving import cosine
from bokeh.plotting import figure, curdoc
x = np.linspace(0, 4*pi, 80)
y = np.sin(x)
p = figure()
r1 = p.line([0, 4*pi], [-1, 1], color="firebrick")
r2 = p.line(x, y, color="navy", line_width=4)
# open a session to keep our local document in sync with server
session = push_session(curdoc())
@cosine(w=0.03)
def update(step):
r2.data_source.data["y"] = y * step
r2.glyph.line_alpha = 1 - 0.8 * abs(step)
curdoc().add_periodic_callback(update, 50)
session.show() # open the document in a browser
session.loop_until_closed() # run forever
Shuffle returns
None. It shuffles the list in place.
Have you tried
shuffle(y)
r2.data_source.data["y"] = y
···
On 5/12/16 9:29 AM, Veenit Shah wrote:
Hi,
I'm trying to plot real time data with a bokeh app. The
below code does not work. Need some more understanding of what
is it that I’m missing.
My code -
from numpy import pi
from random import shuffle
from bokeh.client import push_session
from bokeh.plotting import
figure, curdoc
x = [1,2,3]
y = [10,20,30
]
p = figure()
# r1 = p.line([0, 4*pi], [-1, 1], color="firebrick")
r2 = p.line(x, y, color="navy", line_width=4
)
# open a session to keep our local document in sync with server
session = push_session(curdoc())
def update():
r2.data_source.data["y" ] = shuffle(y)
# r2.glyph.line_alpha = 1 - 0.8 * abs(step)
curdoc().add_periodic_callback(update, 50
)
session.show() # open the document in a browser
session.loop_until_closed() # run forever
Here is the original code from
which works absolutely fine.
import numpy as np
from numpy import pi
from bokeh.client import push_session
from bokeh.driving import cosine
from bokeh.plotting import figure, curdoc
x = np.linspace(0, 4*pi, 80)
y = np.sin(x)
p = figure()
r1 = p.line([0, 4*pi], [-1, 1], color="firebrick")
r2 = p.line(x, y, color="navy", line_width=4)
# open a session to keep our local document in sync with server
session = push_session(curdoc())
@cosine(w=0.03)
def update(step):
r2.data_source.data["y"] = y * step
r2.glyph.line_alpha = 1 - 0.8 * abs(step)
curdoc().add_periodic_callback(update, 50)
session.show() # open the document in a browser
session.loop_until_closed() # run forever
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