Helllo,
What is the correct way to add a background image to a plot using “screen” coordinates instead of “data” coordinates in Bokeh 0.12? When I try the following, it still seems to be using data coordinates.
p = figure(x_range=[5, 10], y_range=[-1, 1], x_axis_type='log')
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="screen", h_units="screen")
p.add_glyph(image_source, bkgimage)
I expected to be able to set w_units="w_units", h_units="h_units" in my call to ImageURL, but this just gives an error
(ValueError: invalid value: 'w_units'; allowed values are screen or data).
Cheers,
Christian
I had to correct your code to make it runnable, but I never saw that error. I was able to set w_units and h_units
to “screen”.
Having said
that, it didn’t seem to be respecting th em as screen
units. I su ggest
open ing an
issue.
···
On 8/16/16 4:09 AM, Christian Hill
wrote:
Helllo,
What is the correct way to add a background image to a plot
using “screen” coordinates instead of “data” coordinates in
Bokeh 0.12? When I try the following, it still seems to be
using data coordinates.
p = figure(x_range=[5, 10], y_range=[-1, 1], x_axis_type='log')
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="screen", h_units="screen")
p.add_glyph(image_source, bkgimage)
I expected to be able to set w_units="w_units", h_units="h_units" in my call to ImageURL, but this just gives an error
(
ValueError: invalid value: 'w_units'; allowed values are screen or data).
Cheers,
Christian
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–
Sarah Bird
Developer, Bokeh
[
](http://continuum.io)
Thanks, Sarah, I guess I’ll raise a bug report on this. The error I got happened when I tried:
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="w_units", h_units="h_units")
working purely by analogy with the other arguments to ImageURL since the documentation is somewhat lacking around how this part of the API is supposed to work (probably as a consequence of the fact that it doesn’t).
Best wishes,
Christian
···
On 16 August 2016 at 21:33, Sarah Bird - Continuum [email protected] wrote:
I had to correct your code to make it runnable, but I never saw that error. I was able to set w_units and h_units
to “screen”.
Having said
that, it didn’t seem to be respecting th em as screen
units. I su ggest
open ing an
issue.
On 8/16/16 4:09 AM, Christian Hill
wrote:
Helllo,
What is the correct way to add a background image to a plot
using “screen” coordinates instead of “data” coordinates in
Bokeh 0.12? When I try the following, it still seems to be
using data coordinates.
p = figure(x_range=[5, 10], y_range=[-1, 1], x_axis_type='log')
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="screen", h_units="screen")
p.add_glyph(image_source, bkgimage)
I expected to be able to set w_units="w_units", h_units="h_units" in my call to ImageURL, but this just gives an error
(
ValueError: invalid value: 'w_units'; allowed values are screen or data).
Cheers,
Christian
–
You received this message because you are subscribed to the Google
Groups “Bokeh Discussion - Public” group.
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For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
–
Sarah Bird
Developer, Bokeh
[
](http://continuum.io)
–
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–
My book, Learning Scientific Programming with Python is published by CUP
scipython.com: | @scipython3
w_units and h_units do not accept a “DataSpec” argument - that is a
column of a datasource, they only accept the value “string” or
“data”.
For reference:
···
http://bokeh.pydata.org/en/latest/docs/reference/models/glyphs.html#bokeh.models.glyphs.ImageURL.h_units
On 8/17/16 7:14 AM, Christian Hill
wrote:
Thanks, Sarah, I guess I'll raise a bug report on this.
The error I got happened when I tried:
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="w_units", h_units="h_units")
working purely by analogy with the other arguments to
ImageURL since the documentation is somewhat lacking around
how this part of the API is supposed to work (probably as a
consequence of the fact that it doesn’t).
Best wishes,
Christian
On 16 August 2016 at 21:33, Sarah Bird
I
had to correct your code to make it runnable, but I never saw that error. I was able to
set w_units and h_units to
“screen”.
Having said
that, it didn’t seem to be respecting th em as
screen units. I su ggest
open ing
an issue.
On 8/16/16 4:09 AM, Christian Hill wrote:
Helllo,
What is the correct way to add a background
image to a plot using “screen” coordinates
instead of “data” coordinates in Bokeh 0.12?
When I try the following, it still seems to be
using data coordinates.
p = figure(x_range=[5, 10], y_range=[-1, 1], x_axis_type='log')
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="screen", h_units="screen")
p.add_glyph(image_source, bkgimage)
I expected to be able to set w_units="w_units", h_units="h_units" in my call to ImageURL, but this just gives an error
(
ValueError: invalid value: 'w_units'; allowed values are screen or data).
Cheers,
Christian
–
You received this message because you are subscribed to
the Google Groups “Bokeh Discussion - Public” group.
To unsubscribe from this group and stop receiving emails
from it, send an email to [email protected].
To post to this group, send email to [email protected].
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For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
–
Sarah Bird
Developer, Bokeh
[  ](http://continuum.io)
--
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For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
--
My book, Learning Scientific
Programming with Python is published by CUP
[scipython.com](http://scipython.com) :
| @scipython3
–
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For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
–
Sarah Bird
Developer, Bokeh
[
](http://continuum.io)
Thanks for the link. It seems a little odd that the numbers are part of the datasource but not the units that the numbers are in… Anyway, I’ve raised an issue on github and maybe someone who knows more about the Bokeh API than I do can take a look.
Best wishes,
Christian
···
On 18 August 2016 at 01:12, Sarah Bird - Continuum [email protected] wrote:
w_units and h_units do not accept a "DataSpec" argument - that is a
column of a datasource, they only accept the value “string” or
“data”.
For reference:
http://bokeh.pydata.org/en/latest/docs/reference/models/glyphs.html#bokeh.models.glyphs.ImageURL.h_units
On 8/17/16 7:14 AM, Christian Hill
wrote:
Thanks, Sarah, I guess I'll raise a bug report on this.
The error I got happened when I tried:
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="w_units", h_units="h_units")
working purely by analogy with the other arguments to
ImageURL since the documentation is somewhat lacking around
how this part of the API is supposed to work (probably as a
consequence of the fact that it doesn’t).
Best wishes,
Christian
–
You received this message because you are subscribed to the Google
Groups “Bokeh Discussion - Public” group.
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For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
–
Sarah Bird
Developer, Bokeh
[
](http://continuum.io)
–
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–
On 16 August 2016 at 21:33, Sarah Bird
I
had to correct your code to make it runnable, but I never saw that error. I was able to
set w_units and h_units to
“screen”.
Having said
that, it didn’t seem to be respecting th em as
screen units. I su ggest
open ing
an issue.
On 8/16/16 4:09 AM, Christian Hill wrote:
Helllo,
What is the correct way to add a background
image to a plot using “screen” coordinates
instead of “data” coordinates in Bokeh 0.12?
When I try the following, it still seems to be
using data coordinates.
p = figure(x_range=[5, 10], y_range=[-1, 1], x_axis_type='log')
image_source = ColumnDataSource(
dict(url=[url],
x=[0], y=[0], w=[200], h=[100],
w_units=["screen"], h_units=["screen"])
)
bkgimage = ImageURL(url="url", x="x", y="y", anchor="bottom_left",
global_alpha=0.2, w="w", h="h",
w_units="screen", h_units="screen")
p.add_glyph(image_source, bkgimage)
I expected to be able to set w_units="w_units", h_units="h_units" in my call to ImageURL, but this just gives an error
(
ValueError: invalid value: 'w_units'; allowed values are screen or data).
Cheers,
Christian
–
You received this message because you are subscribed to
the Google Groups “Bokeh Discussion - Public” group.
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from it, send an email to [email protected].
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For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
–
Sarah Bird
Developer, Bokeh
[  ](http://continuum.io)
--
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For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
--
My book, Learning Scientific
Programming with Python is published by CUP
[scipython.com](http://scipython.com) :
| @scipython3
My book, Learning Scientific Programming with Python is published by CUP
scipython.com: | @scipython3