Formatting dateime axes

On Sep 24, 2014, at 10:47 AM, novin01@gmail.com wrote:

I can see that there is a DatetimeTickFormatter in `bokeh.objects` but I can't find any documentation on how to use it to format a datetime axis.

I tried to do the same as shown in:

https://github.com/ContinuumIO/bokeh/blob/d195f194b90416881ce2386049028eb4d35c9f47/examples/glyphs/daylight.py#L80-L82

plt.figure(
    title="TimeSeries Plot"
    title_text_font_size="20pt",
    plot_width=800,
    plot_height=600,
)
plt.hold()
plt.line(
    series.index, series.values,
    color='blue',
    alpha=0.2,
    tools="pan,box_zoom,wheel_zoom,reset,hover",
)
xformatter = DatetimeTickFormatter(formats=dict(months=["%b-%Y"]))
xaxis = DatetimeAxis(formatter=xformatter)
plt.curplot().add_layout(xaxis, 'below')

And this does indeed add an axis with the dates specified accordingly however I now have two axis, one with numbers and one with dates! Instead of adding an axis I want to simply specify a formatter for an existing axis.

Is there any way to do this?

Thanks,
Dave

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On Wednesday, 24 September 2014 15:51:37 UTC+1, Bryan Van de ven wrote:

You can pull the formatter off an existing axis:

In [1]: from bokeh.plotting import *

In [2]: output_file(“/tmp/foo.html”)

Session output file ‘/tmp/foo.html’ already exists, will be overwritten.

In [3]: line([1,2,3], [4,5,6])

Out[3]: <bokeh.objects.Plot at 0x110fe3d50>

In [4]: xaxis()[0].formatter

Out[4]: <bokeh.objects.BasicTickFormatter at 0x110fe3e90>

This is a BasicTickFormatter, but the principle is the same. So you could replace the formatter with an entirely new one, or set the months attribute of an existing formatter, etc.

Bryan

On Sep 24, 2014, at 10:47 AM, nov...@gmail.com wrote:

I can see that there is a DatetimeTickFormatter in bokeh.objects but I can’t find any documentation on how to use it to format a datetime axis.

I tried to do the same as shown in:

https://github.com/ContinuumIO/bokeh/blob/d195f194b90416881ce2386049028eb4d35c9f47/examples/glyphs/daylight.py#L80-L82

plt.figure(

title="TimeSeries Plot"

title_text_font_size="20pt",

plot_width=800,

plot_height=600,

)

plt.hold()

plt.line(

series.index, series.values,

color='blue',

alpha=0.2,

tools="pan,box_zoom,wheel_zoom,reset,hover",

)

xformatter = DatetimeTickFormatter(formats=dict(months=[“%b-%Y”]))

xaxis = DatetimeAxis(formatter=xformatter)

plt.curplot().add_layout(xaxis, ‘below’)

And this does indeed add an axis with the dates specified accordingly however I now have two axis, one with numbers and one with dates! Instead of adding an axis I want to simply specify a formatter for an existing axis.

Is there any way to do this?

Thanks,

Dave