[SOLVED] How to use Bokeh datetimetickformatter to customize ticks

How to use Bokeh datetimetickformatter to customize ticks

I am relatively new to python and I am using bokeh to create a html file that plots some timeseries data.

I would like to format the x-axis ticks as "DD/MM HH:SS". I am writing a simplified version of the code:

from bokeh.plotting import figure, output_file, save, show
from bokeh.models import DatetimeTickFormatter
import datetime as dt
t=[dt.datetime(2017, 1, 9, 16, 14, 10),dt.datetime(2017, 1, 9, 16, 15, 20)]
Temp=[200,210]
output_file("Burner SPC test.html")
p1=figure(title="Tip1 TC", x_axis_label="Time", y_axis_label="Temp Diff", x_axis_type="datetime")
p1.line(t,Temp)
p1.xaxis.formatter=DatetimeTickFormatter(formats=dict(
days=["%??"],
months=["%??"],
hours=["%???"],
minutes=["%???"])) #not sure how to format here to get the desired output
show(p1)

Any help is highly appreciated. Thanks in advance.

Solution

I solved it using "%m/%d %H:%M" for all the fields: months, days, hours, minutes:

p1.xaxis.formatter=DatetimeTickFormatter(formats=dict(
    days=["%m/%d %H:%M"],
    months=["%m/%d %H:%M"],
    hours=["%m/%d %H:%M"],
    minutes=["%m/%d %H:%M"]
))

Initially I was trying to use "%m" for months, "%d" for days, "%H" for hours and "%M" for minutes but since I want the same format across all those scales, they all need to be configured the same.