def update_range(ds, fig, window):
#if len(ds.data['x']) > window:
# fig.x_range.start = time.mktime(ds.data['x'][-window].timetuple()) * 1000 - 20000000
# fig.x_range.end = time.mktime(ds.data['x'][-1].timetuple()) * 1000 - 20000000
now = datetime.now()
start = now - timedelta(hours=window)
#fig.x_range.start = time.mktime(start.timetuple()) * 1000 - 20000000
#fig.x_range.end = time.mktime(now.timetuple()) * 1000 - 20000000
#cursession().store_objects(fig.x_range)
cursession().store_objects()
import time
import numpy as np
from bokeh.charts import Line, curdoc, cursession, output_server, show
from bokeh.models import GlyphRenderer
N = 80
x = np.linspace(0, 4*np.pi, N)
xyvalues = OrderedDict(sin=np.sin(x), cos=np.cos(x))
output_server("line_animate")
chart = Line(xyvalues, title="Lines", ylabel='measures')
curdoc().add(chart)
show(chart)
renderer = chart.select(dict(type=GlyphRenderer))
ds = renderer[0].data_source
while True:
for i in np.hstack((np.linspace(1, -1, 100), np.linspace(-1, 1, 100))):
for k, values in xyvalues.items():
if k != 'x':
ds.data['y_%s'%k] = values * i
cursession().store_objects(ds)
time.sleep(0.05)
def update_series(ds, xvalue, yvalue):
ds.data['x'].append(xvalue)
ds.data['y'].append(yvalue)
cursession().store_objects(ds)
import time
import numpy as np
from bokeh.charts import Line, curdoc, cursession, output_server, show
from bokeh.models import GlyphRenderer
N = 80
x = np.linspace(0, 4 * np.pi, N)
xyvalues = OrderedDict(sin=np.sin(x), cos=np.cos(x))
output_server("line_animate")
chart = Line(xyvalues, title="Lines", ylabel='measures')
curdoc().add(chart)
show(chart)
renderer = chart.select(dict(type=GlyphRenderer))
ds = renderer[0].data_source
while True:
for i in np.hstack((np.linspace(1, -1, 100), np.linspace(-1, 1, 100))):
for k, values in xyvalues.items():
if k != 'x':
ds.data['y_%s' % k] = values * i
cursession().store_objects(ds)
time.sleep(0.05)
