shakelib.plotting.contour

shakelib.plotting.contour.contour(imtdict, imtype, filter_size, gmice)

Generate contours of a specific IMT and return as a Shapely MultiLineString object.

Parameters:

• container (ShakeMapOutputContainer) – ShakeMapOutputContainer with ShakeMap output data.

• imtype (str) – String containing the name of an Intensity Measure Type found in container.

• filter_size (int) – Integer filter (see https://docs.scipy.org/doc/scipy-0.16.1/reference/generated/scipy.ndimage.filters.median_filter.html)

Returns:

List of dictionaries containing two fields

• geometry: GeoJSON-like representation of one of the objects in https://toblerity.org/fiona/manual.html#geometry-types

• properties: Dictionary of properties describing that feature.

Return type:

list

Raises:

NotImplementedError -- if the user attempts to contour a data file – with sets of points rather than grids.

shakelib.plotting.contour.getContourLevels(dmin, dmax, itype='log')

Get contour levels given min/max values and desired IMT.

Use itype=’log’ for any IMT that is logarithmically distributed, such as PGA, PGV, and Sa. Linear for MMI.

Parameters:

• dmin (float) – Minimum value of data to contour.

• dmax (float) – Maximum value of data to contour.

• itype (str) – Interval type; default is ‘log’, anythign else indicates linear intervals.

Returns:

Numpy array of contour levels.

Return type:

ndarray