import argparse import os from netCDF4 import Dataset def assemble_data(input_dir, output_file): nc_files = [f for f in os.listdir(input_dir) if f.endswith(".nc")] nc_files.sort() samples = [0] with Dataset(os.path.join(input_dir, nc_files[0]), "r") as first_nc: samples.append(first_nc.dimensions["sample"].size) num_times = first_nc.dimensions["time"].size try: num_channels = first_nc.dimensions["channel"].size except: num_channels = None x_size = first_nc.dimensions["x"].size y_size = first_nc.dimensions["y"].size dtype = first_nc.variables[nc_files[0].split("_")[0]].dtype for nc_file in nc_files[1:]: with Dataset(os.path.join(input_dir, nc_file), "r") as nc: samples.append(nc.dimensions["sample"].size) num_samples = sum(samples) for i in range(1, len(samples)): samples[i] += samples[i - 1] with Dataset(output_file, "w") as out_nc: out_nc.createDimension("sample", num_samples) out_nc.createDimension("time", num_times) if num_channels is not None: out_nc.createDimension("channel", num_channels) out_nc.createDimension("x", x_size) out_nc.createDimension("y", y_size) if num_channels is not None: out_nc.createVariable( nc_files[0].split("_")[0], dtype, ("sample", "time", "channel", "x", "y"), chunksizes=(1, 1, num_channels, x_size, y_size) ) else: out_nc.createVariable( nc_files[0].split("_")[0], dtype, ("sample", "time", "x", "y"), chunksizes=(1, 1, x_size, y_size) ) for i, nc_file in enumerate(nc_files): with Dataset(os.path.join(input_dir, nc_file), "r") as nc: print(f"Processing {os.path.join(input_dir, nc_file)}") variable = nc.variables[nc_file.split("_")[0]] out_nc[nc_file.split("_")[0]][samples[i] : samples[i + 1]] = variable[:] print(f"Saved data to {output_file}") if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--input_dir", type=str, required=True) parser.add_argument("--output_file", type=str, required=True) args = parser.parse_args() assemble_data(args.input_dir, args.output_file)