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lsuttle/bokeh_datatable_filtered.py

Forked from dennisobrien/bokeh_datatable_filtered.py
Created February 22, 2017 03:07
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  1. @dennisobrien dennisobrien revised this gist Sep 23, 2015. 1 changed file with 5 additions and 12 deletions.
    17 changes: 5 additions & 12 deletions bokeh_datatable_filtered.py
    View file
    Original file line number Diff line number Diff line change
    @@ -50,25 +50,18 @@
    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(
    generic_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)
    code=combined_callback_code
    )

    # finally, connect the callbacks to the filter widgets
    country_select.callback = country_callback
    year_select.callback = year_callback
    country_select.callback = generic_callback
    year_select.callback = generic_callback

    p = bokeh.io.vplot(country_select, year_select, data_table)
    bokeh.plotting.show(p)
  2. @dennisobrien dennisobrien renamed this gist Sep 23, 2015. 1 changed file with 0 additions and 0 deletions.
    0 gistfile1.txt → bokeh_datatable_filtered.py
    View file
    File renamed without changes.
  3. @dennisobrien dennisobrien created this gist Sep 23, 2015.
    74 changes: 74 additions & 0 deletions gistfile1.txt
    View file
    Original file line number Diff line number Diff line change
    @@ -0,0 +1,74 @@
    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)