|
| 1 | +""" |
| 2 | +plot_all.py |
| 3 | +
|
| 4 | +Brittle script to produce all plots from the tod and canopy recordings. The |
| 5 | +directory structure is assumed so this will break if anything changes. |
| 6 | +""" |
| 7 | + |
| 8 | +import os |
| 9 | +# import onedrivesdk as od |
| 10 | +import shutil |
| 11 | +import plot_bagfile as pb |
| 12 | +import matplotlib.pyplot as plt |
| 13 | + |
| 14 | + |
| 15 | +if __name__ == "__main__": |
| 16 | + data_dir = os.path.join(os.getcwd(), os.path.join('..', 'sardinia_data')) |
| 17 | + out_base_dir = os.path.join(os.getcwd(), os.path.join('..', 'plots')) |
| 18 | + |
| 19 | + # client = od.get_default_client() |
| 20 | + # data_dir = os.path.join(r"C:", "Users", "Odin", "OneDrive - University of Edinburgh", "Projects", |
| 21 | + # "2022-InsectNeuroNano", "SA2022 data") |
| 22 | + |
| 23 | + # Make plot directory if it doesn't exist. Existing files will |
| 24 | + # be overwritten. |
| 25 | + if not os.path.exists(out_base_dir): |
| 26 | + os.mkdir(out_base_dir) |
| 27 | + |
| 28 | + # Change into data directory - tod_data, canopy_data |
| 29 | + datasets = os.listdir(data_dir) |
| 30 | + for s in datasets: |
| 31 | + os.chdir(os.path.join(data_dir, s)) |
| 32 | + |
| 33 | + days = os.listdir(os.getcwd()) |
| 34 | + for d in days: |
| 35 | + os.chdir(os.path.join(data_dir, s, d)) |
| 36 | + |
| 37 | + # Plots are split by experiment and day |
| 38 | + # e.g. ../plots/tod_data/Friday_13-05-22/x.pdf |
| 39 | + output_file_base = os.path.join(out_base_dir, s, d) |
| 40 | + if not os.path.exists(output_file_base): |
| 41 | + os.makedirs(output_file_base) |
| 42 | + rec_sessions = os.listdir(os.getcwd()) |
| 43 | + for r in rec_sessions: |
| 44 | + session_path = os.path.join(data_dir, s, d, r) |
| 45 | + if not os.path.isdir(session_path): |
| 46 | + continue |
| 47 | + |
| 48 | + fig, outfile = pb.plot_bagfile(session_path, mode="eigenvectors") |
| 49 | + # fig, outfile = pb.plot_bagfile(session_path, mode="intensity+polarisation") |
| 50 | + # fig, outfile = pb.plot_bagfile(session_path, mode="intensity-only") |
| 51 | + # fig, outfile = pb.plot_bagfile(session_path, mode="polarisation-only") |
| 52 | + outpath = os.path.abspath(os.path.join(output_file_base, outfile.replace(".pdf", ".png"))) |
| 53 | + |
| 54 | + print(outpath) |
| 55 | + fig.savefig(outpath, bbox_inches="tight") |
| 56 | + plt.close(fig) |
| 57 | + |
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