Created
June 26, 2020 20:04
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| import pandas as pd | |
| from bokeh.io import show | |
| from bokeh.layouts import column | |
| from bokeh.models import ColumnDataSource, CustomJS | |
| from bokeh.models import Select | |
| from bokeh.models.tools import HoverTool | |
| from bokeh.plotting import figure, curdoc | |
| df = pd.DataFrame({'2007': [10, 20, 30, 40], | |
| '2008': [90, 60, 70, 40], | |
| '2009': [30, 60, 70, 10], | |
| '2010': [80, 50, 30, 10]}, | |
| index=[0, 0.5, 1, 1.5]) | |
| ds = ColumnDataSource(df) | |
| p = figure(toolbar_location="above", x_axis_type="linear") | |
| p.add_tools(HoverTool(tooltips=[("y", "@index")])) | |
| line_renderer = p.line('2007', 'index', source=ds) | |
| def handler(value, old, new): | |
| print('value:', value, 'old:', old, 'new:', new) | |
| print(ds.data[new]) | |
| line_renderer.glyph.x = ds.data[new] | |
| #handler = CustomJS(args=dict(line_renderer=line_renderer), code=""" | |
| # line_renderer.glyph.x = {field: cb_obj.value}; | |
| #""") | |
| select = Select(title="df-column:", options=list(df.columns)) | |
| #select.js_on_change('value', handler) | |
| select.on_change('value', handler) | |
| curdoc().add_root(column(select, p)) |
Thanks to @eugene on SO I updated the code to a working version:
select and update pandas dataframe columns in bokeh plot
- Python Callback
import pandas as pd
from bokeh.io import show
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, CustomJS
from bokeh.models import Select
from bokeh.models.tools import HoverTool
from bokeh.plotting import figure, curdoc
df = pd.DataFrame({'2007': [10, 20, 30, 40],
'2008': [90, 60, 70, 40],
'2009': [30, 60, 70, 10],
'2010': [80, 50, 30, 10]},
index=[0, 0.5, 1, 1.5])
ds = ColumnDataSource(df)
p = figure(toolbar_location="above", x_axis_type="linear")
p.add_tools(HoverTool(tooltips=[("y", "@index")]))
line_renderer = p.line('2007', 'index', source=ds)
def handler(value, old, new):
line_renderer.glyph.x = dict(field=new)
select = Select(title="df-column:", options=list(df.columns))
select.on_change('value', handler)
curdoc().add_root(column(select, p))- JS Callback
import pandas as pd
from bokeh.io import show
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, CustomJS
from bokeh.models import Select
from bokeh.models.tools import HoverTool
from bokeh.plotting import figure, curdoc
df = pd.DataFrame({'2007': [10, 20, 30, 40],
'2008': [90, 60, 70, 40],
'2009': [30, 60, 70, 10],
'2010': [80, 50, 30, 10]},
index=[0, 0.5, 1, 1.5])
ds = ColumnDataSource(df)
p = figure(toolbar_location="above", x_axis_type="linear")
p.add_tools(HoverTool(tooltips=[("y", "@index")]))
line_renderer = p.line('2007', 'index', source=ds)
handler = CustomJS(args=dict(line_renderer=line_renderer), code="""
line_renderer.glyph.x = {field: cb_obj.value};
""")
select = Select(title="df-column:", options=list(df.columns))
select.js_on_change('value', handler)
curdoc().add_root(column(select, p))
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