BOKEH_MSPlot#

class pyopenms_viz._bokeh.BOKEH_MSPlot(data: DataFrame, config: BasePlotConfig = None, **kwargs)#

Bases: BaseMSPlot, BOKEHPlot, ABC

_create_tooltips(entries, index=True, data=None)#

Create tooltips based on entries dictionary with keys: label for tooltip and values: column names.

entries = {

“m/z”: “mz” “Retention Time: “RT”

}

Will result in tooltips where label and value are separated by colon:

m/z: 100.5 Retention Time: 50.1

Parameters:

  • entries (dict) – Which data to put in tool tip and how display it with labels as keys and column names as values.

  • index (bool, optional) – Whether to show dataframe index in tooltip. Defaults to True.

  • data (DataFrame, optional) – The data to use for tooltip values. Defaults to None, which uses self.data. When peak binning is enabled, pass the prepared/binned DataFrame to ensure tooltip data matches the plotted data.

Returns:

Tooltip text. Tooltip data.

plot_x_axis_line(fig, line_color='#EEEEEE', line_width=1.5, opacity=1)#

plot line across x axis