aerosandbox.visualization.carpet_plot_utils

Utilities for making better carpet plots

Functions

time_limit(seconds)	Allows you to run a block of code with a timeout. This way, you can sweep through points to make a carpet plot
remove_nans(array)	Removes NaN values in a 1D array.
patch_nans(array)	Patches NaN values in a 2D array. Can patch holes or entire regions. Uses Laplacian smoothing.
complicated_function()

Module Contents

aerosandbox.visualization.carpet_plot_utils.time_limit(seconds)

Allows you to run a block of code with a timeout. This way, you can sweep through points to make a carpet plot

without getting stuck on a particular point that may not terminate in a reasonable amount of time.

Only runs on Linux!

Usage:

Attempt to set x equal to the value of a complicated function. If it takes longer than 5 seconds, skip it. >>> try: >>> with time_limit(5): >>> x = complicated_function() >>> except TimeoutException: >>> x = np.nan

Parameters:

seconds – Duration of timeout [seconds]

Returns:

aerosandbox.visualization.carpet_plot_utils.remove_nans(array)

Removes NaN values in a 1D array. :param array: a 1D array of data.

Returns: The array with all NaN values stripped.

aerosandbox.visualization.carpet_plot_utils.patch_nans(array)

Patches NaN values in a 2D array. Can patch holes or entire regions. Uses Laplacian smoothing. :param array: :return:

aerosandbox.visualization.carpet_plot_utils.complicated_function()