How to offset a line relative to another

On Feb 13, 2017, at 11:35, Sridhar Anandakrishnan <sanandak2011@gmail.com> wrote:

Hi - I have two (or more) lines that have very similar y-values - for visual purposes I want to shift one by a little bit. (and I don't want to change the data - in other words, I don't want to add y_shift to each point in the 2nd line).

Here is how I would do it in matplotlib
http://matplotlib.org/users/transforms_tutorial.html

Another way to think about this is two lines plotted on two different axes, overlaid on the same figure, but each one occupies a slightly different physical part of the figure.
In plotly, this is:
Single-page reference in Python
  • domain (list)
default: [0, 1]
Sets the domain of this axis (in plot fraction).
Each dict has one or more of the keys listed below.

Thanks!
Sridhar

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On Monday, February 13, 2017 at 5:52:49 PM UTC-5, Bryan Van de ven wrote:

The next release should have a CustomJSTransform that would make this simple to do:

    [https://github.com/bokeh/bokeh/issues/5015](https://github.com/bokeh/bokeh/issues/5015)

In the mean time, you’d have to write your own Transform type as a custom extension:

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

Thanks,

Bryan

On Feb 13, 2017, at 11:35, Sridhar Anandakrishnan sanand...@gmail.com wrote:

Hi - I have two (or more) lines that have very similar y-values - for visual purposes I want to shift one by a little bit. (and I don’t want to change the data - in other words, I don’t want to add y_shift to each point in the 2nd line).

Here is how I would do it in matplotlib

http://matplotlib.org/users/transforms_tutorial.html

Another way to think about this is two lines plotted on two different axes, overlaid on the same figure, but each one occupies a slightly different physical part of the figure.

In plotly, this is:

https://plot.ly/python/reference/#layout-yaxis

    • domain (list)

default: [0, 1]
Sets the domain of this axis (in plot fraction).
Each dict has one or more of the keys listed below.

Thanks!

Sridhar

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