def bokeh_chart(self, figure, use_container_width=False):
"""Display an interactive Bokeh chart.
Bokeh is a charting library for Python. The arguments to this function
closely follow the ones for Bokeh's `show` function. You can find
more about Bokeh at https://bokeh.pydata.org.
To show Bokeh charts in Streamlit, call `st.bokeh_chart`
wherever you would call Bokeh's `show`.
Parameters
----------
figure : bokeh.plotting.figure.Figure
A Bokeh figure to plot.
use_container_width : bool
If True, set the chart width to the column width. This takes
precedence over Bokeh's native `width` value.
Example
-------
>>> import streamlit as st
>>> from bokeh.plotting import figure
>>>
>>> x = [1, 2, 3, 4, 5]
>>> y = [6, 7, 2, 4, 5]
>>>
>>> p = figure(
... title='simple line example',
... x_axis_label='x',
... y_axis_label='y')
...
>>> p.line(x, y, legend_label='Trend', line_width=2)
>>>
>>> st.bokeh_chart(p, use_container_width=True)
.. output::
https://share.streamlit.io/streamlit/docs/main/python/api-examples-source/charts.bokeh_chart.py
height: 700px
"""
import bokeh
if bokeh.__version__ != ST_BOKEH_VERSION:
raise StreamlitAPIException(
f"Streamlit only supports Bokeh version {ST_BOKEH_VERSION}, "
f"but you have version {bokeh.__version__} installed. Please "
f"run `pip install --force-reinstall --no-deps bokeh=="
f"{ST_BOKEH_VERSION}` to install the correct version.")
# Generate element ID from delta path
delta_path = self.dg._get_delta_path_str()
element_id = hashlib.md5(delta_path.encode()).hexdigest()
bokeh_chart_proto = BokehChartProto()
marshall(bokeh_chart_proto, figure, use_container_width, element_id)
return self.dg._enqueue("bokeh_chart", bokeh_chart_proto)
def bokeh_chart(self, figure, use_container_width=False):
"""Display an interactive Bokeh chart.
Bokeh is a charting library for Python. The arguments to this function
closely follow the ones for Bokeh's `show` function. You can find
more about Bokeh at https://bokeh.pydata.org.
Parameters
----------
figure : bokeh.plotting.figure.Figure
A Bokeh figure to plot.
use_container_width : bool
If True, set the chart width to the column width. This takes
precedence over Bokeh's native `width` value.
To show Bokeh charts in Streamlit, call `st.bokeh_chart`
wherever you would call Bokeh's `show`.
Example
-------
>>> import streamlit as st
>>> from bokeh.plotting import figure
>>>
>>> x = [1, 2, 3, 4, 5]
>>> y = [6, 7, 2, 4, 5]
>>>
>>> p = figure(
... title='simple line example',
... x_axis_label='x',
... y_axis_label='y')
...
>>> p.line(x, y, legend_label='Trend', line_width=2)
>>>
>>> st.bokeh_chart(p, use_container_width=True)
.. output::
https://static.streamlit.io/0.56.0-xTAd/index.html?id=Fdhg51uMbGMLRRxXV6ubzp
height: 600px
"""
import bokeh
if bokeh.__version__ != ST_BOKEH_VERSION:
raise StreamlitAPIException(
f"Streamlit only supports Bokeh version {ST_BOKEH_VERSION}, "
f"but you have version {bokeh.__version__} installed. Please "
f"run `pip install --force-reinstall --no-deps bokeh=="
f"{ST_BOKEH_VERSION}` to install the correct version.")
bokeh_chart_proto = BokehChartProto()
marshall(bokeh_chart_proto, figure, use_container_width)
return self.dg._enqueue("bokeh_chart", bokeh_chart_proto)
def bokeh_chart(dg, figure, use_container_width=False):
"""Display an interactive Bokeh chart.
Bokeh is a charting library for Python. The arguments to this function
closely follow the ones for Bokeh's `show` function. You can find
more about Bokeh at https://bokeh.pydata.org.
Parameters
----------
figure : bokeh.plotting.figure.Figure
A Bokeh figure to plot.
use_container_width : bool
If True, set the chart width to the column width. This takes
precedence over Bokeh's native `width` value.
To show Bokeh charts in Streamlit, call `st.bokeh_chart`
wherever you would call Bokeh's `show`.
Example
-------
>>> import streamlit as st
>>> from bokeh.plotting import figure
>>>
>>> x = [1, 2, 3, 4, 5]
>>> y = [6, 7, 2, 4, 5]
>>>
>>> p = figure(
... title='simple line example',
... x_axis_label='x',
... y_axis_label='y')
...
>>> p.line(x, y, legend='Trend', line_width=2)
>>>
>>> st.bokeh_chart(p, use_container_width=True)
.. output::
https://share.streamlit.io/0.56.0-xTAd/index.html?id=Fdhg51uMbGMLRRxXV6ubzp
height: 600px
"""
bokeh_chart_proto = BokehChartProto()
marshall(bokeh_chart_proto, figure, use_container_width)
return dg._enqueue("bokeh_chart", bokeh_chart_proto) # type: ignore