Difference between revisions of "Bokeh: Plot Random Data dengan Axis Datetime"
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Onnowpurbo (talk | contribs) |
Onnowpurbo (talk | contribs) |
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| Line 23: | Line 23: | ||
time.sleep(0.01) | time.sleep(0.01) | ||
| − | + | p = figure(x_axis_type="datetime",tools=TOOLS) | |
| − | p = figure(tools=TOOLS) | + | # p = figure(tools=TOOLS) |
p.line(x, y, name='randomaja',color='#1F78B4',legend='Analog 1') | p.line(x, y, name='randomaja',color='#1F78B4',legend='Analog 1') | ||
show(p) | show(p) | ||
Latest revision as of 09:13, 30 November 2015
import sys
import time
import socket
import random
import datetime
from numpy import cumprod, linspace, random
from bokeh.plotting import figure, output_server, show, cursession, vplot, output_file
TOOLS = "pan,wheel_zoom,box_zoom,reset,save"
output_file("coba5.html")
x = [0]
y = [0]
i = 0
n = datetime.datetime.now()
x = ['%d.%d'%(n.minute*60+n.second,n.microsecond)]
y = [random.random()]
for i in xrange(1000):
n = datetime.datetime.now()
x += ['%d.%d'%(n.minute*60+n.second,n.microsecond)]
y += [random.random()]
time.sleep(0.01)
p = figure(x_axis_type="datetime",tools=TOOLS)
# p = figure(tools=TOOLS)
p.line(x, y, name='randomaja',color='#1F78B4',legend='Analog 1')
show(p)