I am experimenting with time plots such as this example from bokeh
. Is it possible to create minor ticks for the x-axis? I tried all the different options inside p.xaxis.minor
but none seemed useful.
Here's the code from example:
import pandas as pd
from bokeh.plotting import figure, output_file, show
AAPL = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date']
)
output_file("datetime.html")
# create a new plot with a datetime axis type
p = figure(width=800, height=250, x_axis_type="datetime")
p.line(AAPL['Date'], AAPL['Close'], color='navy', alpha=0.5)
show(p)
And the image:
From what it seems it's automatically turned off, and the x-axis
updates properly as you zoom in, but it would be great to include minor ticks for visualization purpose.
As of Bokeh 0.10, the BokehJS DatetimeTicker
sets num_minor_ticks
to zero on the internal tickers that it uses:
https://github.com/bokeh/bokeh/blob/master/bokehjs/src/coffee/ticking/datetime_ticker.coffee#L23
There is currently no simple way exposed to override this (You could write some JavaScript to reach in directly, but that would be a pain). I am not sure if this state of affairs is due to some inherent problem with minor ticks and datatime ranges, or if this was merely an oversight. Please make a new issue on the Bokeh GH issue tracker so it can be investigated:
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