For example in this simple example:
df = pd.DataFrame(from_some_dict)
tmp = ColumnDataSource(df)
p = figure()
p.scatter(df[‘datetime’], df[‘val’], source=tmp)
show(p)
``
I couldn’t figure out where to find the related documentation
For example in this simple example:
df = pd.DataFrame(from_some_dict)
tmp = ColumnDataSource(df)
p = figure()
p.scatter(df[‘datetime’], df[‘val’], source=tmp)
show(p)
``
I couldn’t figure out where to find the related documentation
you would either do:
p.scatter(‘datetime’, ‘val’, source=tmp)
or
p.scatter(df[‘datetime’], df[‘val’])
the reason you would use source explicitly is to do something like this:
p = figure()
p.scatter(‘datetime’, ‘val1’, source=tmp)
p2 = figure()
p2.scatter(‘datetime’, ‘val2’, source=tmp)
show(VBox(children=[p, p2])
If you do this, then p1/p2 are connected (linked brushing)
On Fri, Feb 27, 2015 at 8:52 AM, Dror Atariah [email protected] wrote:
For example in this simple example:
df = pd.DataFrame(from_some_dict)
tmp = ColumnDataSource(df)
p = figure()
p.scatter(df[‘datetime’], df[‘val’], source=tmp)
show(p)
``
I couldn’t figure out where to find the related documentation
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