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)