creating plots with different x,y - aka "manually setting the DataSource"

On Nov 7, 2013, at 8:43 AM, Thomas Lecocq <thlecocq@gmail.com> wrote:

Hi,

I'm trying to somehow plot "subplots", having different x,y values. The grid example is great for the geometry of the output. But no example shows how to create the DataSource from scratch and to pass the column names as args to line() or scatter().

I've tried something like that to initialize my plots (which will then be updated/animated)

    x = {}
    y = {}
    
    ds = DataSource()
    
    for id in ids:
        ds["x_%s"%id] = [0,]
        ds["y_%s"%id] = [0,]

        line("x_%s"%id,"y_%s"%id, color="#0000FF", tools="pan,zoom,resize",
            width=1280,height=200,
            x_axis_type = "datetime",
            title=id
            )

Thanks for the help

Thom

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On Nov 7, 2013, at 11:11 AM, Bryan Van de Ven <bryan@bokeh.org> wrote:

Hi Thomas,

It *should* just work by adding a “source” keyword argument to the renderer call, like this:

flowers = ColumnDataSource(
   data=dict(
       petal_length=flowers['petal_length'],
       petal_width=flowers['petal_width'],
       sepal_length=flowers['sepal_length'],
       sepal_width=flowers['sepal_width'],
       iris_color=flowers['color'],
   )
)

scatter("petal_length", “petal_width”, color="iris_color", fill_alpha=0.2, radius=5, name="iris", source=flowers)

However, I just discovered a small bug in testing out this example for you. I have created a GH issue you can track this problem on:

  ColumnDataSource does not update column_names · Issue #155 · bokeh/bokeh · GitHub

I hope to have it fixed in GH this afternoon, and FYI we are planning a 0.3 follow on release next week, that is mostly a build system refactor and repository consolidation, but that will also contain several bug fixes as well.

Thanks!

Bryan

On Nov 7, 2013, at 8:43 AM, Thomas Lecocq <thlecocq@gmail.com> wrote:

Hi,

I'm trying to somehow plot "subplots", having different x,y values. The grid example is great for the geometry of the output. But no example shows how to create the DataSource from scratch and to pass the column names as args to line() or scatter().

I've tried something like that to initialize my plots (which will then be updated/animated)

   x = {}
   y = {}

   ds = DataSource()

   for id in ids:
       ds["x_%s"%id] = [0,]
       ds["y_%s"%id] = [0,]

       line("x_%s"%id,"y_%s"%id, color="#0000FF", tools="pan,zoom,resize",
           width=1280,height=200,
           x_axis_type = "datetime",
           title=id
           )

Thanks for the help

Thom

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