Categorical extra_y_range issue (code included)

All,
I am having an issue with trying to apply a text label to the right axis that aligns with the horizontal boxes. I need to add an additional label to the right in text with a further description of the box details.

I would like help in trying to get the “right_axis_labels” on the right axis. I have no issue with the numerical axis but for this the picture is as close as I have been able to get.

I have provided all code minus the box plot data because I am still new to python and am not sure how to efficiently generate fake data. I would also appreciate any tips you may have on improving the code.

Thanks for your time.

import pandas as pd

from bokeh.plotting import figure, show

from bokeh.models import plots, Span, BoxAnnotation, Range1d, CategoricalAxis

cats = [‘a’, ‘b’, ‘c’, ‘d’, ‘e’, ‘f’, ‘g’, ‘h’, ‘i’, ‘j’, ‘k’, ‘l’, ‘m’, ‘n’, ‘o’, ‘p’, ‘q’, ‘r’, ‘s’, ‘t’]

plotting

inputs

units = ‘defF’

lim_min = 0

lim_max = 105

space = (lim_max - lim_min) * 0.025

val_max = df[‘max’]

val_min = df[‘min’]

q1 = df[‘q1’]

med = df[‘med’]

q3 = df[‘q3’]

customer = df[‘customer’].values

p = figure(width=500, height=500, y_range=cats, x_range=Range1d(lim_min-space, lim_max+space))

p.xaxis.axis_label = ‘Units: %s’ %units

p.xaxis.axis_label_text_font_size = ‘10pt’

p.xaxis.major_label_text_font_size = ‘10pt’

p.yaxis.major_label_text_font_size = ‘10pt’

p.yaxis.axis_label = ‘Good Labels’

p.yaxis.axis_label_text_font_size = ‘10pt’

p.toolbar_location = None

box_height = .5

wiskers

p.segment(val_max, cats, q3, cats, line_dash=‘dashed’, line_color=“blue”)

p.segment(val_min, cats, q1, cats, line_dash=‘dashed’, line_color=“blue”)

boxes

p.hbar(cats, box_height, q1, q3, fill_color=“white”, line_color=“blue”)

caps (almost-0 height rects simpler than segments)

p.rect(val_min, cats, 0.01, box_height*0.6, line_color=“black”)

p.rect(val_max, cats, 0.01, box_height*0.6, line_color=“black”)

median line

p.rect(med, cats, 0.01, box_height, line_width=1, line_color=“red”)

limit lines

limit_min_line = Span(location=lim_min,

dimension=‘height’, line_color=‘red’,

line_dash=‘dashed’, line_width=1)

limit_max_line = Span(location=lim_max,

dimension=‘height’, line_color=‘red’,

line_dash=‘dashed’, line_width=1)

p.add_layout(limit_min_line)

p.add_layout(limit_max_line)

add top and bottom areas

low_box = BoxAnnotation(top=split[0]+.5, fill_alpha=0.05, fill_color=‘red’)

high_box = BoxAnnotation(bottom=split[0]+.5, fill_alpha=0.05, fill_color=‘blue’)

p.add_layout(low_box)

p.add_layout(high_box)

add horizontal divider line

top_2_bot_split = Span(location=split[0]+.5, dimension=‘width’, line_color=‘green’, line_width=3)

p.add_layout(top_2_bot_split)

add second axis

p.extra_y_ranges={‘right’:p.y_range}

p.add_layout(CategoricalAxis(y_range_name=‘right’, axis_label=“Want these to be a list of different labels”), ‘right’)

right_axis_labels = [‘aa’, ‘bb’, ‘cc’, ‘dd’, ‘ee’, ‘ff’ ,‘gg’, ‘hh’, ‘ii’, ‘jj’, ‘kk’, ‘ll’, ‘mm’, ‘nn’, ‘oo’, ‘pp’, ‘qq’, ‘rr’, ‘ss’, ‘tt’]

show§

Hi,

Categorical axes just display the categories in their associated range. You are setting your extra range to be the same range as the right side (the default range), so I would expect the labels to be the same. If you want different labels you could try:

  p.extra_y_ranges={ 'right': FactorRange(*right_axis_labels) }

But I can't say that I've ever tried multiple axes with different factor ranges (only numerical ones) so I can't guarantee this will work.

Other options include not adding an extra range at all, but simply using a FuncTickFormatter to format the existing factors however you want:

  right_axis = CategoricalAxis()
  right_axis.formatter = FuncTickFormatter(code="""
      # JS code to map "a" to description for "a", etc
  """)
  p.add_layout(right_axis, 'right')

More information about FuncTickFormatter can be seen here:
  
  http://bokeh.pydata.org/en/latest/docs/user_guide/styling.html#functickformatter

Lastly, a PR was just merged that would let you easily set "label overrides" directly on an axis:

  https://github.com/bokeh/bokeh/pull/6225

But note that this is only available on master/dev builds currently, it is not yet in any stable release (it will be in 0.12.6 later this month).

Thanks,

Bryan

···

On May 12, 2017, at 17:59, David G <[email protected]> wrote:

All,
I am having an issue with trying to apply a text label to the right axis that aligns with the horizontal boxes. I need to add an additional label to the right in text with a further description of the box details.

I would like help in trying to get the "right_axis_labels" on the right axis. I have no issue with the numerical axis but for this the picture is as close as I have been able to get.

I have provided all code minus the box plot data because I am still new to python and am not sure how to efficiently generate fake data. I would also appreciate any tips you may have on improving the code.

Thanks for your time.

import pandas as pd
from bokeh.plotting import figure, show
from bokeh.models import plots, Span, BoxAnnotation, Range1d, CategoricalAxis
cats = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't']

# plotting
# inputs
units = 'defF'
lim_min = 0
lim_max = 105
space = (lim_max - lim_min) * 0.025

val_max = df['max']
val_min = df['min']
q1 = df['q1']
med = df['med']
q3 = df['q3']
customer = df['customer'].values

p = figure(width=500, height=500, y_range=cats, x_range=Range1d(lim_min-space, lim_max+space))

# p.xaxis.axis_label = 'Units: %s' %units
p.xaxis.axis_label_text_font_size = '10pt'
p.xaxis.major_label_text_font_size = '10pt'

p.yaxis.major_label_text_font_size = '10pt'
p.yaxis.axis_label = 'Good Labels'

p.yaxis.axis_label_text_font_size = '10pt'
p.toolbar_location = None

box_height = .5

# wiskers
p.segment(val_max, cats, q3, cats, line_dash='dashed', line_color="blue")
p.segment(val_min, cats, q1, cats, line_dash='dashed', line_color="blue")

# boxes
p.hbar(cats, box_height, q1, q3, fill_color="white", line_color="blue")

# caps (almost-0 height rects simpler than segments)
p.rect(val_min, cats, 0.01, box_height*0.6, line_color="black")
p.rect(val_max, cats, 0.01, box_height*0.6, line_color="black")

# median line
p.rect(med, cats, 0.01, box_height, line_width=1, line_color="red")

# limit lines
limit_min_line = Span(location=lim_min,
                      dimension='height', line_color='red',
                      line_dash='dashed', line_width=1)
limit_max_line = Span(location=lim_max,
                      dimension='height', line_color='red',
                      line_dash='dashed', line_width=1)
p.add_layout(limit_min_line)
p.add_layout(limit_max_line)

# add top and bottom areas
low_box = BoxAnnotation(top=split[0]+.5, fill_alpha=0.05, fill_color='red')
high_box = BoxAnnotation(bottom=split[0]+.5, fill_alpha=0.05, fill_color='blue')
p.add_layout(low_box)
p.add_layout(high_box)

# add horizontal divider line
top_2_bot_split = Span(location=split[0]+.5, dimension='width', line_color='green', line_width=3)
p.add_layout(top_2_bot_split)

# add second axis
p.extra_y_ranges={'right':p.y_range}
p.add_layout(CategoricalAxis(y_range_name='right', axis_label="Want these to be a list of different labels"), 'right')

right_axis_labels = ['aa', 'bb', 'cc', 'dd', 'ee', 'ff' ,'gg', 'hh', 'ii', 'jj', 'kk', 'll', 'mm', 'nn', 'oo', 'pp', 'qq', 'rr', 'ss', 'tt']

show(p)

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<bokeh hboxplot.png>

Thanks Bryan. That works perfectly.

Revised code portion for future reference.

right_axis_labels = [‘aa’, ‘bb’, ‘cc’, ‘dd’, ‘ee’, ‘ff’ ,‘gg’, ‘hh’, ‘ii’, ‘jj’, ‘kk’, ‘ll’, ‘mm’, ‘nn’, ‘oo’, ‘pp’, ‘qq’, ‘rr’, ‘ss’, ‘tt’]

add second axis

p.extra_y_ranges={‘right’:FactorRange(*right_axis_labels)}

p.add_layout(CategoricalAxis(y_range_name=‘right’, axis_label=“Want these to be a list of different labels”), ‘right’)

``

···

On Saturday, May 13, 2017 at 8:33:34 AM UTC-5, Bryan Van de ven wrote:

Hi,

Categorical axes just display the categories in their associated range. You are setting your extra range to be the same range as the right side (the default range), so I would expect the labels to be the same. If you want different labels you could try:

    p.extra_y_ranges={ 'right': FactorRange(*right_axis_labels) }

But I can’t say that I’ve ever tried multiple axes with different factor ranges (only numerical ones) so I can’t guarantee this will work.

Other options include not adding an extra range at all, but simply using a FuncTickFormatter to format the existing factors however you want:

    right_axis = CategoricalAxis()

    right_axis.formatter = FuncTickFormatter(code="""

        # JS code to map "a" to description for "a", etc

    """)

    p.add_layout(right_axis, 'right')

More information about FuncTickFormatter can be seen here:

    [http://bokeh.pydata.org/en/latest/docs/user_guide/styling.html#functickformatter](http://bokeh.pydata.org/en/latest/docs/user_guide/styling.html#functickformatter)

Lastly, a PR was just merged that would let you easily set “label overrides” directly on an axis:

    [https://github.com/bokeh/bokeh/pull/6225](https://github.com/bokeh/bokeh/pull/6225)

But note that this is only available on master/dev builds currently, it is not yet in any stable release (it will be in 0.12.6 later this month).

Thanks,

Bryan

On May 12, 2017, at 17:59, David G [email protected] wrote:

All,

I am having an issue with trying to apply a text label to the right axis that aligns with the horizontal boxes. I need to add an additional label to the right in text with a further description of the box details.

I would like help in trying to get the “right_axis_labels” on the right axis. I have no issue with the numerical axis but for this the picture is as close as I have been able to get.

I have provided all code minus the box plot data because I am still new to python and am not sure how to efficiently generate fake data. I would also appreciate any tips you may have on improving the code.

Thanks for your time.

import pandas as pd

from bokeh.plotting import figure, show

from bokeh.models import plots, Span, BoxAnnotation, Range1d, CategoricalAxis

cats = [‘a’, ‘b’, ‘c’, ‘d’, ‘e’, ‘f’, ‘g’, ‘h’, ‘i’, ‘j’, ‘k’, ‘l’, ‘m’, ‘n’, ‘o’, ‘p’, ‘q’, ‘r’, ‘s’, ‘t’]

plotting

inputs

units = ‘defF’

lim_min = 0

lim_max = 105

space = (lim_max - lim_min) * 0.025

val_max = df[‘max’]

val_min = df[‘min’]

q1 = df[‘q1’]

med = df[‘med’]

q3 = df[‘q3’]

customer = df[‘customer’].values

p = figure(width=500, height=500, y_range=cats, x_range=Range1d(lim_min-space, lim_max+space))

p.xaxis.axis_label = ‘Units: %s’ %units

p.xaxis.axis_label_text_font_size = ‘10pt’

p.xaxis.major_label_text_font_size = ‘10pt’

p.yaxis.major_label_text_font_size = ‘10pt’

p.yaxis.axis_label = ‘Good Labels’

p.yaxis.axis_label_text_font_size = ‘10pt’

p.toolbar_location = None

box_height = .5

wiskers

p.segment(val_max, cats, q3, cats, line_dash=‘dashed’, line_color=“blue”)

p.segment(val_min, cats, q1, cats, line_dash=‘dashed’, line_color=“blue”)

boxes

p.hbar(cats, box_height, q1, q3, fill_color=“white”, line_color=“blue”)

caps (almost-0 height rects simpler than segments)

p.rect(val_min, cats, 0.01, box_height*0.6, line_color=“black”)

p.rect(val_max, cats, 0.01, box_height*0.6, line_color=“black”)

median line

p.rect(med, cats, 0.01, box_height, line_width=1, line_color=“red”)

limit lines

limit_min_line = Span(location=lim_min,

                  dimension='height', line_color='red',
                  line_dash='dashed', line_width=1)

limit_max_line = Span(location=lim_max,

                  dimension='height', line_color='red',
                  line_dash='dashed', line_width=1)

p.add_layout(limit_min_line)

p.add_layout(limit_max_line)

add top and bottom areas

low_box = BoxAnnotation(top=split[0]+.5, fill_alpha=0.05, fill_color=‘red’)

high_box = BoxAnnotation(bottom=split[0]+.5, fill_alpha=0.05, fill_color=‘blue’)

p.add_layout(low_box)

p.add_layout(high_box)

add horizontal divider line

top_2_bot_split = Span(location=split[0]+.5, dimension=‘width’, line_color=‘green’, line_width=3)

p.add_layout(top_2_bot_split)

add second axis

p.extra_y_ranges={‘right’:p.y_range}

p.add_layout(CategoricalAxis(y_range_name=‘right’, axis_label=“Want these to be a list of different labels”), ‘right’)

right_axis_labels = [‘aa’, ‘bb’, ‘cc’, ‘dd’, ‘ee’, ‘ff’ ,‘gg’, ‘hh’, ‘ii’, ‘jj’, ‘kk’, ‘ll’, ‘mm’, ‘nn’, ‘oo’, ‘pp’, ‘qq’, ‘rr’, ‘ss’, ‘tt’]

show§


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