Turning off Tick Marks in Bokeh

Question

I am working on the Bokeh (0.6.1) tutorial and trying to turn off the tick marks and labels in one of the exercise plots, the scatter plot:

from __future__ import division



import numpy as np

from six.moves import zip

from bokeh.plotting import *

from bokeh.objects import Range1d



output_file("scatter.html")



figure()



N = 4000



x = np.random.random(size=N) * 100

y = np.random.random(size=N) * 100

radii = np.random.random(size=N) * 1.5

colors = [

    "#%02x%02x%02x" % (r, g, 150) 

    for r, g in zip(np.floor(50+2*x), np.floor(30+2*y))

]



circle(x, y, radius=radii,

       fill_color=colors, fill_alpha=0.6,

       line_color=None, Title="Colorful Scatter")



grid().grid_line_color = None

axis().axis_line_color = None



# QUESTION PART 1: Is this the right way to turn off tick labels?

axis().major_label_text_font_size = '0pt'  

# QUESTION PART 2: ...and how to turn off tick marks also?



show()  # open a browser

I have managed to turn off the tick labels but no amount of searching the documentation and googling has revealed the incantation needed to turn off the tick marks.

Also I am not sure that setting

axis().major_label_text_font_size

to

0pt

is the right way to turn off tick labels or if it is a kludge. Nothing else seemed to work.

Am I missing something obvious?

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Answer 1

I am not sure if the absence of an answer over more than a week is due to people not knowing it, or because the question is being ignored as too obvious.

Anyway, in the hope that others might find it useful, I post this answer. I have found a way of doing it that seems so much like a hack that I am only posting it in the hope that someone will improve on it...

from __future__ import division

import numpy as np
from six.moves import zip
from bokeh.plotting import *

output_file("scatter.html")

figure()

N = 4000

x = np.random.random(size=N) * 100
y = np.random.random(size=N) * 100
radii = np.random.random(size=N) * 1.5
colors = ["#%02x%02x%02x" % (r, g, 150) 
          for r, g in zip(np.floor(50+2*x), np.floor(30+2*y))]

circle(x, y, radius=radii,
       fill_color=colors, fill_alpha=0.6,
       line_color=None, Title="Colorful Scatter")

grid().grid_line_color = None
axis().axis_line_color = None
curplot().outline_line_color = None

# Turn off tick labels
axis().major_label_text_font_size = '0pt'  
# Turn off tick marks 
axis().major_tick_line_color = None  # turn off major ticks
axis()[0].ticker.num_minor_ticks = 0  # turn off minor ticks
axis()[1].ticker.num_minor_ticks = 0

show()  # open a browser

Turning off Tick Marks in Bokeh

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