Python io.curdoc方法代碼示例

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def _bokeh_cb_push_adds(self, bootstrap_document=None):
        if bootstrap_document is None:
            document = curdoc()
        else:
            document = bootstrap_document

        with self._lock:
            client = self._clients[document.session_context.id]
            updatepkg_df: pandas.DataFrame = self._datastore[self._datastore['index'] > client.last_data_index]

            # skip if we don't have new data
            if updatepkg_df.shape[0] == 0:
                return

            updatepkg = ColumnDataSource.from_df(updatepkg_df)

            client.push_adds(updatepkg, new_last_index=updatepkg_df['index'].iloc[-1]) 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def show_exception_page():
            """ show an error page in case of an unknown/unhandled exception """
            title = 'Internal Error'

            error_message = ('<h3>Internal Server Error</h3>'
                             '<p>Please open an issue on <a '
                             'href="https://github.com/PX4/flight_review/issues" target="_blank">'
                             'https://github.com/PX4/flight_review/issues</a> with a link '
                             'to this log.')
            div = Div(text=error_message, width=int(plot_width*0.9))
            plots = [widgetbox(div, width=int(plot_width*0.9))]
            curdoc().template_variables['internal_error'] = True
            return (title, error_message, plots)


        # check which plots to show 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def app(self_or_cls, plot, show=False, new_window=False, websocket_origin=None, port=0):
        """
        Creates a bokeh app from a HoloViews object or plot. By
        default simply attaches the plot to bokeh's curdoc and returns
        the Document, if show option is supplied creates an
        Application instance and displays it either in a browser
        window or inline if notebook extension has been loaded.  Using
        the new_window option the app may be displayed in a new
        browser tab once the notebook extension has been loaded.  A
        websocket origin is required when launching from an existing
        tornado server (such as the notebook) and it is not on the
        default port ('localhost:8888').
        """
        if isinstance(plot, HoloViewsPane):
            pane = plot
        else:
            pane = HoloViewsPane(plot, backend=self_or_cls.backend, renderer=self_or_cls,
                                 **self_or_cls._widget_kwargs())
        if new_window:
            return pane._get_server(port, websocket_origin, show=show)
        else:
            kwargs = {'notebook_url': websocket_origin} if websocket_origin else {}
            return pane.app(port=port, **kwargs) 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def get_root(self, doc=None, comm=None):
        """
        Returns the root model and applies pre-processing hooks

        Arguments
        ---------
        doc: bokeh.Document
          Bokeh document the bokeh model will be attached to.
        comm: pyviz_comms.Comm
          Optional pyviz_comms when working in notebook

        Returns
        -------
        Returns the bokeh model corresponding to this panel object
        """
        doc = doc or _curdoc()
        root = self.layout.get_root(doc, comm)
        ref = root.ref['id']
        self._models[ref] = (root, None)
        state._views[ref] = (self, root, doc, comm)
        return root 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def get_root(self, doc=None, comm=None):
        """
        Returns the root model and applies pre-processing hooks

        Arguments
        ---------
        doc: bokeh.Document
          Bokeh document the bokeh model will be attached to.
        comm: pyviz_comms.Comm
          Optional pyviz_comms when working in notebook

        Returns
        -------
        Returns the bokeh model corresponding to this panel object
        """
        doc = doc or _curdoc()
        if self._updates:
            root = self._get_model(doc, comm=comm)
        else:
            root = self.layout._get_model(doc, comm=comm)
        self._preprocess(root)
        ref = root.ref['id']
        state._views[ref] = (self, root, doc, comm)
        return root 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def theme(name):
    """Set color theme.

    :param name: name of theme

    >>> import arlpy.plot
    >>> arlpy.plot.theme('dark')
    """
    if name == 'dark':
        name = 'dark_minimal'
        set_colors(dark_palette)
    elif name == 'light':
        name = 'light_minimal'
        set_colors(light_palette)
    _bio.curdoc().theme = name 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def _on_select_group(self, a, old, new):
        _logger.info(f"Switching logic group to {new}...")
        self._current_group = new
        doc = curdoc()
        doc.hold()
        self._refreshmodel()
        doc.unhold()

        self._push_data_fnc(doc)

        _logger.info(f"Switching logic group finished") 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def _bokeh_cb_push_patches(self):
        document = curdoc()
        session_id = document.session_context.id
        with self._lock:
            client: LiveClient = self._clients[session_id]

            patch_pkgs = self._patch_pkgs[session_id]
            self._patch_pkgs[session_id] = []
            client.push_patches(patch_pkgs) 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def animate():
    if button.label == ' Play':
        button.label = ' Pause'
        curdoc().add_periodic_callback(animate_update, 10)
    else:
        button.label = ' Play'
        curdoc().remove_periodic_callback(animate_update) 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def plan_update_data(self):
        doc = curdoc()
        if self._update_complete == True:
            self._update_complete = False
            self._ntcb = doc.add_next_tick_callback(self.update_data) 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def stop_update_data(self):
        doc = curdoc()
        try:
            doc.remove_periodic_callback(self._pcb)
        except:
            pass
        if self._recurring_update.is_running:
            self._recurring_update.stop()
            while self._recurring_update.is_running:
                pass
        try:
            doc.remove_next_tick_callback(self._ntcb)
        except (ValueError, RuntimeError):
            pass  # Already gone 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def update_data(self):
        controller = self.network.notes[0]
        notes_df = pd.DataFrame(self.network.notes[1]).reset_index()
        notes_df.columns = ["index", "notes"]
        notes = ColumnDataSource(notes_df)
        self.data_table.source.data.update(notes.data)
        curdoc().title = "Notes for {}".format(controller) 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def server_doc(self_or_cls, obj, doc=None):
        """
        Get a bokeh Document with the plot attached. May supply
        an existing doc, otherwise bokeh.io.curdoc() is used to
        attach the plot to the global document instance.
        """
        if not isinstance(obj, HoloViewsPane):
            obj = HoloViewsPane(obj, renderer=self_or_cls, backend=self_or_cls.backend,
                                **self_or_cls._widget_kwargs())
        return obj.layout.server_doc(doc) 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def get_plot(self_or_cls, obj, doc=None, renderer=None, **kwargs):
        """
        Given a HoloViews Viewable return a corresponding plot instance.
        Allows supplying a document attach the plot to, useful when
        combining the bokeh model with another plot.
        """
        plot = super(BokehRenderer, self_or_cls).get_plot(obj, doc, renderer, **kwargs)
        if plot.document is None:
            plot.document = Document() if self_or_cls.notebook_context else curdoc()
        plot.document.theme = self_or_cls.theme
        return plot 

# 需要導入模塊: from bokeh import io [as 別名]
# 或者: from bokeh.io import curdoc [as 別名]
def tearDown(self):
        Store.current_backend = self.previous_backend
        bokeh_renderer.last_plot = None
        Callback._callbacks = {}
        with param.logging_level('ERROR'):
            Renderer.notebook_context = self.nbcontext
        state.curdoc = None
        curdoc().clear()
        time.sleep(1)