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from bokeh.io import curdoc |
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from bokeh.models.widgets import Button, DataTable, TableColumn |
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from bokeh.layouts import column, widgetbox |
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from bokeh.models import ColumnDataSource, CustomJS |
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import pandas as pd |
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data_df = pd.DataFrame(dict(A=[0,1,2], B=[3,4,5])) |
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table_source = ColumnDataSource(data=data_df) |
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data_table = DataTable(source=table_source, width=200, height=200) |
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column_list = [TableColumn(field=key, title=key) for key in ['A', 'B']] |
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data_table.columns = column_list |
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button = Button(label = 'Dowload') |
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dowload_source = ColumnDataSource(data=dict()) |
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jscb = CustomJS(args=dict(source=dowload_source), code=''' |
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var txt = source.data['data'][0]; |
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if ((txt != "_begin") && (txt != "_end")) { |
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var filename = 'data.csv'; |
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var blob = new Blob([txt], { type: 'text/csv;charset=utf-8;' }); |
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//addresses IE |
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if (navigator.msSaveBlob) { |
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navigator.msSaveBlob(blob, filename); |
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} |
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else { |
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var link = document.createElement("a"); |
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link = document.createElement('a') |
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link.href = URL.createObjectURL(blob); |
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link.download = filename |
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link.target = "_blank"; |
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link.style.visibility = 'hidden'; |
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link.dispatchEvent(new MouseEvent('click')) |
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} |
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} |
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''') |
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dowload_source.js_on_change('data', jscb) |
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def send_data(): |
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dowload_source.data = {'data': ['_begin']} |
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dowload_source.data = {'data': [data_df.to_csv()]} |
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dowload_source.data = {'data': ['_end']} |
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button.on_click(send_data) |
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curdoc().add_root(column(data_table, widgetbox(button))) |
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curdoc().add_root(dowload_source) |
