This API reference is not for the latest stable Salvus version.

`salvus.project.components.visualization.seismology_visualization_component`

Seismology specific visualizations.

Functions

`get_windows_widget()`

def get_windows_widget(
    project: salvus.project.project.Project,
    data_selection_configuration: str,
    html: bool = True,
) -> Optional[ipywidgets.VBox]:
    ...

Launch a window visualization widget.

Parameters

project salvus.project.project.Project — Project.
data_selection_configuration str — Name the data selection configuration whose windows to plot.
html bool — Return html or widget.

Returns Optional[ipywidgets.VBox]

Classes

`SeismologyVisualizationComponent`

class SeismologyVisualizationComponent(builtins.object):
    def __init__(self, project: salvus.project.project.Project):
        ...

Seismology specific visualizations.

Parameters

project salvus.project.project.Project — The project to attach the component to.

Methods

`get_window_statistics_plot()`

def get_window_statistics_plot(
    self,
    event: Union[salvus.flow.collections.event.Event, str],
    data_selection_configuration: str,
    number_of_epicentral_distance_bins: int = 250,
    number_of_azimuth_bins: int = 36,
    _event_window_and_weight_set: Optional[
        salvus.flow.collections.event_window_and_weight_set.EventWindowAndWeightSet
    ] = None,
) -> None:
    ...

Helper function to visualize picked windows vs epicentral distance for a given event along with some more statistical information.

The goal is to create a single graphic that can be used to judge the quality of picked windows in a statistical way.

Parameters

event Union[salvus.flow.collections.event.Event, str] — The event.
data_selection_configuration str — Name of the data selection configuration which contains the windows.
number_of_epicentral_distance_bins int — Number of bins along the epicentral distance.
number_of_azimuth_bins int — Number of bins in azimuth.
_event_window_and_weight_set Optional[salvus.flow.collections.event_window_and_weight_set.EventWindowAndWeightSet] — Optional event window and weight set file. Must correspond to the data_selection_configuration. Useful when optimizing some functions and the actual object is already in memory.

Returns None

`misfit_map()`

def misfit_map(
    self,
    reference_data: str,
    compare_data: Optional[str] = None,
    scale_to: Optional[str] = None,
    misfit_configuration: str,
    basemap: xyzservices.lib.TileProvider = {
        "name": "Mondaic ESRI World Light Gray Base",
        "url": "https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}?token={accessToken}",
        "variant": "Canvas/World_Light_Gray_Base",
        "accessToken": "AAPK6a9a2d8f5bc5490a97af53b5cff5ec713vcVh1KJ8B7iueQebJq8YJX6wgj-pKlSbD15dL5TIcYbBIdd6AVKurU_rHlSlmWw",
        "html_attribution": "Tiles &copy; Esri &mdash; Esri, DeLorme, NAVTEQ",
        "attribution": "Tiles (C) Esri -- Esri, DeLorme, NAVTEQ",
        "max_zoom": 16,
    },
) -> None:
    ...

Interactive widget to visualize misfits or misfit differences on a map.

Parameters

reference_data str — Simulation configuration for the reference misfit. If no comparison data is chosen it will plot the absolute misfit values of this simulation configuration. Otherwise it will plot the difference between this and the comparison misfit.
compare_data Optional[str] — If given plot the difference between the reference data simulation configuration and this simulation configuration.
scale_to Optional[str] — Only allowed if compare_data is not given. Absolute misfits by default will be scaled with respect to the largest available misfit. Optionally set this to a simulation configuration that the misfits will be scaled to. Useful to compare absolute misfits across different simulation configurations.
misfit_configuration str — The misfit configuration to use.
basemap xyzservices.lib.TileProvider — Choose the ipyleaflet basemap for the plot.

Returns None

`receiver_weights_map()`

def receiver_weights_map(
    self,
    data_selection_configuration: str,
    basemap: xyzservices.lib.TileProvider = {
        "name": "Mondaic ESRI World Light Gray Base",
        "url": "https://server.arcgisonline.com/ArcGIS/rest/services/{variant}/MapServer/tile/{z}/{y}/{x}?token={accessToken}",
        "variant": "Canvas/World_Light_Gray_Base",
        "accessToken": "AAPK6a9a2d8f5bc5490a97af53b5cff5ec713vcVh1KJ8B7iueQebJq8YJX6wgj-pKlSbD15dL5TIcYbBIdd6AVKurU_rHlSlmWw",
        "html_attribution": "Tiles &copy; Esri &mdash; Esri, DeLorme, NAVTEQ",
        "attribution": "Tiles (C) Esri -- Esri, DeLorme, NAVTEQ",
        "max_zoom": 16,
    },
) -> None:
    ...

Interactive widget to visualize receiver weights on a map.

Parameters

data_selection_configuration str — The name of the data selection configuration.
basemap xyzservices.lib.TileProvider — Choose the ipyleaflet basemap for the plot.

Returns None

`windows()`

def windows(self, data_selection_configuration: str) -> None:
    ...

Launch an interactive notebook visualization utility to analyse picked windows.

Parameters

data_selection_configuration str — Name of the window set.

Returns None