I was able to put something together that filters the DataTable. It uses multiple filter widgets, so the code is a little cumbersome.
This works in a Jupyter notebook: Filter a Bokeh DataTable using multiple filter widgets. Runs in a Jupyter notebook. · GitHub
import bokeh.embed
import bokeh.io
import bokeh.models
import bokeh.models.widgets
import bokeh.plotting
import pandas as pd
from pandas_datareader import wb
bokeh.plotting.output_notebook()
df = wb.download(indicator=‘NY.GDP.PCAP.KD’, country=[‘US’, ‘CA’, ‘MX’], start=2005, end=2008)
df = df.reset_index()
source = bokeh.models.ColumnDataSource(df)
original_source = bokeh.models.ColumnDataSource(df)
columns = [
bokeh.models.widgets.TableColumn(field=“country”, title=“Country”),
bokeh.models.widgets.TableColumn(field=“year”, title=“Year”),
bokeh.models.widgets.TableColumn(field=“NY.GDP.PCAP.KD”, title=“NY.GDP.PCAP.KD”),
]
data_table = bokeh.models.widgets.DataTable(source=source, columns=columns)
callback code to be used by all the filter widgets
requires (source, original_source, country_select_obj, year_select_obj, target_object)
combined_callback_code = “”"
var data = source.get(‘data’);
var original_data = original_source.get(‘data’);
var country = country_select_obj.get(‘value’);
console.log("country: " + country);
var year = year_select_obj.get(‘value’);
console.log("year: " + year);
for (var key in original_data) {
data[key] = ;
for (var i = 0; i < original_data[‘country’].length; ++i) {
if ((country === “ALL” || original_data[‘country’][i] === country) &&
(year === “ALL” || original_data[‘year’][i] === year)) {
data[key].push(original_data[key][i]);
}
}
}
target_obj.trigger(‘change’);
source.trigger(‘change’);
“”"
define the filter widgets, without callbacks for now
country_list = [‘ALL’] + df[‘country’].unique().tolist()
country_select = bokeh.models.widgets.Select(title=“Country:”, value=country_list[0], options=country_list)
year_list = [‘ALL’] + df[‘year’].unique().tolist()
year_select = bokeh.models.widgets.Select(title=“Year:”, value=year_list[0], options=year_list)
now define the callback objects now that the filter widgets exist
country_callback = bokeh.models.CustomJS(
args=dict(source=source,
original_source=original_source,
country_select_obj=country_select,
year_select_obj=year_select,
target_obj=data_table),
code=combined_callback_code)
year_callback = bokeh.models.CustomJS(
args=dict(source=source,
original_source=original_source,
country_select_obj=country_select,
year_select_obj=year_select,
target_obj=data_table),
code=combined_callback_code)
finally, connect the callbacks to the filter widgets
country_select.callback = country_callback
year_select.callback = year_callback
p = bokeh.io.vplot(country_select, year_select, data_table)
bokeh.plotting.show(p)
``
If you have any suggestions to make this simpler I would appreciate it.
thanks,
Dennis
···
On Wednesday, April 8, 2015 at 8:35:50 AM UTC-7, liam.mc...@gmail.com wrote:
Sorry for such a delayed response, but thank you for your help, Bryan.
Unfortunately using bokeh-server isn’t an option where I am working.
I was able to do what I wanted with some (admittedly hacky) javascript.
Are there any plans to allow for client side filtering in bokehjs?
Thanks,
Liam
On Saturday, March 21, 2015 at 4:17:47 PM UTC-4, Bryan Van de ven wrote:
Hi Liam,
This is definitely possible, but does require using the bokeh-server. Run the bokeh-server with something like this:
bokeh-server --dev
And then run this example:
[https://github.com/bokeh/bokeh/blob/master/examples/glyphs/data_tables_server.py](https://github.com/bokeh/bokeh/blob/master/examples/glyphs/data_tables_server.py)
You can see a quick loop of this example in action here:
[https://vine.co/v/OvUJ9iIP5u7](https://vine.co/v/OvUJ9iIP5u7)
Bryan
On Mar 20, 2015, at 2:52 PM, Liam McCartney liam.mc...@successacademies.org wrote:
Hello!
I’m very new to Bokeh, but I have been thoroughly impressed by it thus far.
I’ve perused the docs and this group and I haven’t found an answer to this question, so apologies if it’s already been answered and I missed it.
I was wondering if there is any way to include filtering functionality on a DataTable.
Ideally I’d love to be able to use something like these plugins for SlickGrid as well as have the table filter down for plot points selected by the box select tool.
Is this possible in Bokeh as it exists now?
Thank you,
Liam
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