Usage Guide for inpaint_spacetime.py

Use this script to fill in the missing values after using the script filter_outliers_hampel_spacetime.py to impute (inpaint) missing data from time series data.

The script inpaint_spacetime.py reads a CSV file containing shoreline data and applies biharmonic inpainting to fill missing values in the data matrix. The processed data is saved to a new CSV file, and a comparison plot of the original and inpainted data matrices is generated and saved.

Need Help

To view the help documentation for the script, use the following command:

python inpaint_spacetime.py --help

Command line arguments

• -f: Sets the file (csv) to be analyzed

More details

The csv format file shoule contain shoreline positions in each cell, with rows as time and columns as transects

• -p: If 1, make a plot

More details

A flag to make (or suppress) a plot

Examples

Example #1: Basic Usage

This example inpaints the missing values from the raw_transect_time_series_nooutliers.csv file using the default parameters:

python inpaint_spacetime.py -f "/path/to/SDStools/example_data/raw_transect_time_series_nooutliers.csv" -p 1

Here's an example screenshot

The (optional) plot is created. This shows the data as a 2d matrix of shoreline positions as a function of time and transect. This plot is purely for QA/QC purposes and is not intended to be a publication ready figure. This merely shows the data, as a convenience: