Thanks for the quick reply, I really appreciate it! I got the code to work with the native apps method, but I had a followup question as well.
I tried the second method as well, using bokeh.client and push_session(), but I couldn’t get it to work with the original dataframe from my previous example.
This code correctly plots the patches:
from bokeh.client import push_session
from bokeh.plotting import figure, curdoc
from bokeh.models import ColumnDataSource
import pandas as pd
p = figure(plot_width=300, plot_height=300)
df = pd.DataFrame({‘x’:[[1,2,3],[4,5,6,5]], ‘y’:[[1,2,1],[4,5,5,4]] })
cds = ColumnDataSource(df)
a = p.patches(‘x’, ‘y’, source=cds)
session = push_session(curdoc())
session.show(p)
However, when the dataframe uses the float(‘NaN’) separator (as my first example does), the push_session() method displays the empty plot again. Below is the code that doesn’t work.
from bokeh.client import push_session
from bokeh.plotting import figure, curdoc
from bokeh.models import ColumnDataSource
import pandas as pd
p = figure(plot_width=300, plot_height=300)
df = pd.DataFrame({‘x’:[[1,2,3,float(‘NaN’),4,5,6,5]], ‘y’:[[1,2,1,float(‘NaN’),4,5,5,4]] })
cds = ColumnDataSource(df)
a = p.patches(‘x’, ‘y’, source=cds)
session = push_session(curdoc())
session.show(p)
I don’t quite understand why this happens. The only difference is the float(‘NaN’) part, which I’ve found only correctly works with native apps and the basic show() function.
···
On Tuesday, September 13, 2016 at 9:45:26 AM UTC-4, Bryan Van de ven wrote:
Hi, I’m not sure offhand, but I should say that output_server is mostly a historical quirk, and it has a number of drawbacks (which is why we do not heavily or actively promote its use). I have just opened an issue to propose deprecating and removing it entirely:
[https://github.com/bokeh/bokeh/issues/5154](https://github.com/bokeh/bokeh/issues/5154)
For all Bokeh server apps I strongly recommend first using “native apps”, i.e., those that are run like:
bokeh serve --show myapp.py
These are all of the examples located here:
[https://github.com/bokeh/bokeh/tree/master/examples/app](https://github.com/bokeh/bokeh/tree/master/examples/app)
Alternatively, the next best way is to use bokeh.client and push_session, etc. Some example of that kind are here:
[https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/animated.py](https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/animated.py)
[https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/line_animate.py](https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/line_animate.py)
[https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/selection_histogram.py](https://github.com/bokeh/bokeh/blob/master/examples/plotting/server/selection_histogram.py)
Thanks,
Bryan
On Sep 13, 2016, at 8:22 AM, [email protected] wrote:
I’m having a problem plotting a simple example to Bokeh server. When I run this code without the server, the two patches get plotted correctly.
from bokeh.plotting import figure, show, output_server
from bokeh.models import ColumnDataSource
import pandas as pd
p = figure(plot_width=300, plot_height=300)
df = pd.DataFrame({‘x’:[[1,2,3,float(‘NaN’),4,5,6,5]], ‘y’:[[1,2,1,float(‘NaN’),4,5,5,4]] })
cds = ColumnDataSource(df)
a = p.patches(‘x’, ‘y’, source=cds)
show(p)
When I try to plot the exact same code using output_server(), the plot shows up as an empty plot. Why would this be happening?
from bokeh.plotting import figure, show, output_server
from bokeh.models import ColumnDataSource
import pandas as pd
p = figure(plot_width=300, plot_height=300)
df = pd.DataFrame({‘x’:[[1,2,3,float(‘NaN’),4,5,6,5]], ‘y’:[[1,2,1,float(‘NaN’),4,5,5,4]] })
cds = ColumnDataSource(df)
a = p.patches(‘x’, ‘y’, source=cds)
output_server()
show(p)
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