https://lms.onnocenter.or.id/wiki/index.php?action=history&feed=atom&title=Bokeh%3A_Plot_dengan_Axis_Datetime 2026-04-21T02:27:29Z Revision history for this page on the wiki MediaWiki 1.45.1 https://lms.onnocenter.or.id/wiki/index.php?title=Bokeh:_Plot_dengan_Axis_Datetime&diff=45104&oldid=prev 2015-11-27T07:46:41Z

<p>New page: Plot dengan axis datetime. Lakukan cd /var/www/html vi stocks.html Source import numpy as np from bokeh.plotting import figure, output_file, show from bokeh.sampledata.stocks im...</p> <p><b>New page</b></p><div>Plot dengan axis datetime.<br /> <br /> Lakukan<br /> <br /> cd /var/www/html<br /> vi stocks.html<br /> <br /> Source<br /> <br /> import numpy as np<br /> <br /> from bokeh.plotting import figure, output_file, show<br /> from bokeh.sampledata.stocks import AAPL<br /> <br /> # prepare some data<br /> aapl = np.array(AAPL[&#039;adj_close&#039;])<br /> aapl_dates = np.array(AAPL[&#039;date&#039;], dtype=np.datetime64)<br /> <br /> window_size = 30<br /> window = np.ones(window_size)/float(window_size)<br /> aapl_avg = np.convolve(aapl, window, &#039;same&#039;)<br /> <br /> # output to static HTML file<br /> output_file(&quot;stocks.html&quot;, title=&quot;stocks.py example&quot;)<br /> <br /> # create a new plot with a a datetime axis type<br /> p = figure(width=800, height=350, x_axis_type=&quot;datetime&quot;)<br /> <br /> # add renderers<br /> p.circle(aapl_dates, aapl, size=4, color=&#039;darkgrey&#039;, alpha=0.2, legend=&#039;close&#039;)<br /> p.line(aapl_dates, aapl_avg, color=&#039;navy&#039;, legend=&#039;avg&#039;)<br /> <br /> # NEW: customize by setting attributes<br /> p.title = &quot;AAPL One-Month Average&quot;<br /> p.legend.orientation = &quot;top_left&quot;<br /> p.grid.grid_line_alpha=0<br /> p.xaxis.axis_label = &#039;Date&#039;<br /> p.yaxis.axis_label = &#039;Price&#039;<br /> p.ygrid.band_fill_color=&quot;olive&quot;<br /> p.ygrid.band_fill_alpha = 0.1</div>

Onnowpurbo