Create `figure` without default axes

In continuation of https://github.com/bokeh/bokeh/issues/4042 .

I’ve tried to follow Bryan’s second suggestion - to create the figure without default axes:

import pandas as pd

from bokeh.io import gridplot, output_file, show

from bokeh.plotting import figure

from bokeh.models import LinearAxis, Range1d

output_file(“test.html”)

df = pd.DataFrame()

df[‘time’] = [1, 2, 3, 4, 5]

df[‘temperature’] = [30, 31, 32.5, 33, 31]

df[‘humidity’] = [10, 30, 50, 20, 40]

df[‘sensor’] = [0.22, 0.12, 0.14, 0.08, 0.04]

---------- Doesn’t work -----------

s1 = figure(title=None, x_axis_location=None, y_axis_location=None)

s1 = figure(title=None, y_axis_location=None)

s1 = figure(title=None, x_axis_location=None)

-------------- Works --------------

s1 = figure(title=None)

-----------------------------------

s1.extra_x_ranges[‘time’] = Range1d(-1, 6)

s1.extra_y_ranges[‘temperature’] = Range1d(25, 35)

s1.extra_y_ranges[‘humidity’] = Range1d(0, 50)

s1.extra_y_ranges[‘sensor’] = Range1d(0, 0.25)

s1.extra_x_ranges = {

‘time’: Range1d(start=-1, end=6),

}

s1.extra_y_ranges = {

‘temperature’: Range1d(start=25, end=35),

‘humidity’: Range1d(start=0, end=50),

‘sensor’: Range1d(start=0, end=0.25),

}

s1.line(x=df[‘time’], y=df[‘temperature’],

    x_range_name='time', y_range_name='temperature',

color='orange', legend='temperature')

s1.line(x=df[‘time’], y=df[‘humidity’],

    x_range_name='time', y_range_name="humidity",

color="blue", alpha=0.5, legend='humidity')

s1.line(x=df[‘time’], y=df[‘sensor’],

    x_range_name='time', y_range_name="sensor",

color="red", legend='sensory data')

s1.add_layout(LinearAxis(x_range_name=‘time’, axis_label=‘Time’), ‘below’)

s1.add_layout(LinearAxis(y_range_name=‘temperature’, axis_label=‘Temperature’), ‘left’)

s1.add_layout(LinearAxis(y_range_name=‘humidity’, axis_label=‘Humidity’), ‘left’)

s1.add_layout(LinearAxis(y_range_name=‘sensor’, axis_label=‘Sensor’), ‘right’)

show(s1)

``

This code generates the .html file, but instead of full plot I get only toolbar (zoom, reset, etc). With -- Works -- uncommented everything is generated fine, but the redundant base axes are also presented.

I’ve discovered some initialization code in https://github.com/bokeh/bokeh/blob/master/bokeh/plotting/figure.py#L49-L79 which is called for base axes only, but cannot find out where could be the difference, which prevents the figure from being presented.

Does anyone have any ideas?

OK, there is an actual bug here. If I comment out the add_layout calls that the bottom, the generated Bokeh JSON still has two (partially configured) LinearAxis objects. It should not have any. So the good news is I think this (hopefully) a simple fix on the python side. Can you re-open the issue (as a bug) and link this ML thread?

Thanks for your patience,

Bryan

···

On Mar 19, 2016, at 4:00 PM, Egor Panfilov <[email protected]> wrote:

In continuation of https://github.com/bokeh/bokeh/issues/4042 .

I've tried to follow Bryan's second suggestion - to create the `figure` without default axes:

import pandas as pd

from bokeh.io import gridplot, output_file, show
from bokeh.plotting import figure
from bokeh.models import LinearAxis, Range1d

output_file("test.html")

df = pd.DataFrame()
df['time'] = [1, 2, 3, 4, 5]
df['temperature'] = [30, 31, 32.5, 33, 31]
df['humidity'] = [10, 30, 50, 20, 40]
df['sensor'] = [0.22, 0.12, 0.14, 0.08, 0.04]

# ---------- Doesn't work -----------
s1 = figure(title=None, x_axis_location=None, y_axis_location=None)
# s1 = figure(title=None, y_axis_location=None)
# s1 = figure(title=None, x_axis_location=None)
# -------------- Works --------------
# s1 = figure(title=None)
# -----------------------------------

s1.extra_x_ranges['time'] = Range1d(-1, 6)
s1.extra_y_ranges['temperature'] = Range1d(25, 35)
s1.extra_y_ranges['humidity'] = Range1d(0, 50)
s1.extra_y_ranges['sensor'] = Range1d(0, 0.25)

# s1.extra_x_ranges = {
# 'time': Range1d(start=-1, end=6),
# }
# s1.extra_y_ranges = {
# 'temperature': Range1d(start=25, end=35),
# 'humidity': Range1d(start=0, end=50),
# 'sensor': Range1d(start=0, end=0.25),
# }

s1.line(x=df['time'], y=df['temperature'],
        x_range_name='time', y_range_name='temperature',
  color='orange', legend='temperature')
s1.line(x=df['time'], y=df['humidity'],
        x_range_name='time', y_range_name="humidity",
  color="blue", alpha=0.5, legend='humidity')
s1.line(x=df['time'], y=df['sensor'],
        x_range_name='time', y_range_name="sensor",
  color="red", legend='sensory data')

s1.add_layout(LinearAxis(x_range_name='time', axis_label='Time'), 'below')
s1.add_layout(LinearAxis(y_range_name='temperature', axis_label='Temperature'), 'left')
s1.add_layout(LinearAxis(y_range_name='humidity', axis_label='Humidity'), 'left')
s1.add_layout(LinearAxis(y_range_name='sensor', axis_label='Sensor'), 'right')

show(s1)

This code generates the .html file, but instead of full plot I get only toolbar (zoom, reset, etc). With `-- Works --` uncommented everything is generated fine, but the redundant base axes are also presented.

I've discovered some initialization code in https://github.com/bokeh/bokeh/blob/master/bokeh/plotting/figure.py#L49-L79 which is called for base axes only, but cannot find out where could be the difference, which prevents the figure from being presented.

Does anyone have any ideas?

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Yes, a very small fix and your code works:

diff --git a/bokeh/plotting/figure.py b/bokeh/plotting/figure.py
index 457cf08..3c3d06f 100644
--- a/bokeh/plotting/figure.py
+++ b/bokeh/plotting/figure.py
@@ -50,7 +50,10 @@ class Figure(Plot):
         if x_axiscls:
             if x_axiscls is LogAxis:
                 self.x_mapper_type = 'log'
- xaxis = x_axiscls(plot=self)
+ if x_axis_location is None:
+ xaxis = x_axiscls(plot=None)
+ else:
+ xaxis = x_axiscls(plot=self)
             if hasattr(xaxis.ticker, 'num_minor_ticks'):
                 xaxis.ticker.num_minor_ticks = _get_num_minor_ticks(x_axiscls, x_minor_ticks)
             axis_label = x_axis_label
@@ -66,7 +69,10 @@ class Figure(Plot):
         if y_axiscls:
             if y_axiscls is LogAxis:
                 self.y_mapper_type = 'log'
- yaxis = y_axiscls(plot=self)
+ if y_axis_location is None:
+ yaxis = y_axiscls(plot=None)
+ else:
+ yaxis = y_axiscls(plot=self)
             if hasattr(yaxis.ticker, 'num_minor_ticks'):
                 yaxis.ticker.num_minor_ticks = _get_num_minor_ticks(y_axiscls, y_minor_ticks)
             axis_label = y_axis_label

I'll submit a PR shortly.

Thanks,

Bryan

···

On Mar 19, 2016, at 4:00 PM, Egor Panfilov <[email protected]> wrote:

In continuation of https://github.com/bokeh/bokeh/issues/4042 .

I've tried to follow Bryan's second suggestion - to create the `figure` without default axes:

import pandas as pd

from bokeh.io import gridplot, output_file, show
from bokeh.plotting import figure
from bokeh.models import LinearAxis, Range1d

output_file("test.html")

df = pd.DataFrame()
df['time'] = [1, 2, 3, 4, 5]
df['temperature'] = [30, 31, 32.5, 33, 31]
df['humidity'] = [10, 30, 50, 20, 40]
df['sensor'] = [0.22, 0.12, 0.14, 0.08, 0.04]

# ---------- Doesn't work -----------
s1 = figure(title=None, x_axis_location=None, y_axis_location=None)
# s1 = figure(title=None, y_axis_location=None)
# s1 = figure(title=None, x_axis_location=None)
# -------------- Works --------------
# s1 = figure(title=None)
# -----------------------------------

s1.extra_x_ranges['time'] = Range1d(-1, 6)
s1.extra_y_ranges['temperature'] = Range1d(25, 35)
s1.extra_y_ranges['humidity'] = Range1d(0, 50)
s1.extra_y_ranges['sensor'] = Range1d(0, 0.25)

# s1.extra_x_ranges = {
# 'time': Range1d(start=-1, end=6),
# }
# s1.extra_y_ranges = {
# 'temperature': Range1d(start=25, end=35),
# 'humidity': Range1d(start=0, end=50),
# 'sensor': Range1d(start=0, end=0.25),
# }

s1.line(x=df['time'], y=df['temperature'],
        x_range_name='time', y_range_name='temperature',
  color='orange', legend='temperature')
s1.line(x=df['time'], y=df['humidity'],
        x_range_name='time', y_range_name="humidity",
  color="blue", alpha=0.5, legend='humidity')
s1.line(x=df['time'], y=df['sensor'],
        x_range_name='time', y_range_name="sensor",
  color="red", legend='sensory data')

s1.add_layout(LinearAxis(x_range_name='time', axis_label='Time'), 'below')
s1.add_layout(LinearAxis(y_range_name='temperature', axis_label='Temperature'), 'left')
s1.add_layout(LinearAxis(y_range_name='humidity', axis_label='Humidity'), 'left')
s1.add_layout(LinearAxis(y_range_name='sensor', axis_label='Sensor'), 'right')

show(s1)

This code generates the .html file, but instead of full plot I get only toolbar (zoom, reset, etc). With `-- Works --` uncommented everything is generated fine, but the redundant base axes are also presented.

I've discovered some initialization code in https://github.com/bokeh/bokeh/blob/master/bokeh/plotting/figure.py#L49-L79 which is called for base axes only, but cannot find out where could be the difference, which prevents the figure from being presented.

Does anyone have any ideas?

--
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···

On Mar 19, 2016, at 4:21 PM, Bryan Van de Ven <[email protected]> wrote:

Yes, a very small fix and your code works:

diff --git a/bokeh/plotting/figure.py b/bokeh/plotting/figure.py
index 457cf08..3c3d06f 100644
--- a/bokeh/plotting/figure.py
+++ b/bokeh/plotting/figure.py
@@ -50,7 +50,10 @@ class Figure(Plot):
        if x_axiscls:
            if x_axiscls is LogAxis:
                self.x_mapper_type = 'log'
- xaxis = x_axiscls(plot=self)
+ if x_axis_location is None:
+ xaxis = x_axiscls(plot=None)
+ else:
+ xaxis = x_axiscls(plot=self)
            if hasattr(xaxis.ticker, 'num_minor_ticks'):
                xaxis.ticker.num_minor_ticks = _get_num_minor_ticks(x_axiscls, x_minor_ticks)
            axis_label = x_axis_label
@@ -66,7 +69,10 @@ class Figure(Plot):
        if y_axiscls:
            if y_axiscls is LogAxis:
                self.y_mapper_type = 'log'
- yaxis = y_axiscls(plot=self)
+ if y_axis_location is None:
+ yaxis = y_axiscls(plot=None)
+ else:
+ yaxis = y_axiscls(plot=self)
            if hasattr(yaxis.ticker, 'num_minor_ticks'):
                yaxis.ticker.num_minor_ticks = _get_num_minor_ticks(y_axiscls, y_minor_ticks)
            axis_label = y_axis_label

I'll submit a PR shortly.

Thanks,

Bryan

On Mar 19, 2016, at 4:00 PM, Egor Panfilov <[email protected]> wrote:

In continuation of https://github.com/bokeh/bokeh/issues/4042 .

I've tried to follow Bryan's second suggestion - to create the `figure` without default axes:

import pandas as pd

from bokeh.io import gridplot, output_file, show
from bokeh.plotting import figure
from bokeh.models import LinearAxis, Range1d

output_file("test.html")

df = pd.DataFrame()
df['time'] = [1, 2, 3, 4, 5]
df['temperature'] = [30, 31, 32.5, 33, 31]
df['humidity'] = [10, 30, 50, 20, 40]
df['sensor'] = [0.22, 0.12, 0.14, 0.08, 0.04]

# ---------- Doesn't work -----------
s1 = figure(title=None, x_axis_location=None, y_axis_location=None)
# s1 = figure(title=None, y_axis_location=None)
# s1 = figure(title=None, x_axis_location=None)
# -------------- Works --------------
# s1 = figure(title=None)
# -----------------------------------

s1.extra_x_ranges['time'] = Range1d(-1, 6)
s1.extra_y_ranges['temperature'] = Range1d(25, 35)
s1.extra_y_ranges['humidity'] = Range1d(0, 50)
s1.extra_y_ranges['sensor'] = Range1d(0, 0.25)

# s1.extra_x_ranges = {
# 'time': Range1d(start=-1, end=6),
# }
# s1.extra_y_ranges = {
# 'temperature': Range1d(start=25, end=35),
# 'humidity': Range1d(start=0, end=50),
# 'sensor': Range1d(start=0, end=0.25),
# }

s1.line(x=df['time'], y=df['temperature'],
       x_range_name='time', y_range_name='temperature',
  color='orange', legend='temperature')
s1.line(x=df['time'], y=df['humidity'],
       x_range_name='time', y_range_name="humidity",
  color="blue", alpha=0.5, legend='humidity')
s1.line(x=df['time'], y=df['sensor'],
       x_range_name='time', y_range_name="sensor",
  color="red", legend='sensory data')

s1.add_layout(LinearAxis(x_range_name='time', axis_label='Time'), 'below')
s1.add_layout(LinearAxis(y_range_name='temperature', axis_label='Temperature'), 'left')
s1.add_layout(LinearAxis(y_range_name='humidity', axis_label='Humidity'), 'left')
s1.add_layout(LinearAxis(y_range_name='sensor', axis_label='Sensor'), 'right')

show(s1)

This code generates the .html file, but instead of full plot I get only toolbar (zoom, reset, etc). With `-- Works --` uncommented everything is generated fine, but the redundant base axes are also presented.

I've discovered some initialization code in https://github.com/bokeh/bokeh/blob/master/bokeh/plotting/figure.py#L49-L79 which is called for base axes only, but cannot find out where could be the difference, which prevents the figure from being presented.

Does anyone have any ideas?

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Thank you very much, Bryan! This should do the trick.

···

воскресенье, 20 марта 2016 г., 0:29:57 UTC+3 пользователь Bryan Van de ven написал:

https://github.com/bokeh/bokeh/pull/4046