Python Memory Snapshot Profiler

profile.py

def profile(message: str = "Snapshot"):
    padding_len = max(99 - len(message), 0)
    print(f"{message} {'*' * padding_len}")

    import pandas
    from pympler import muppy, summary
    all_objects = muppy.get_objects()
    sum1 = summary.summarize(all_objects)
    # Prints out a summary of the large objects
    summary.print_(sum1)

    dataframes = [ao for ao in all_objects if isinstance(ao, pandas.DataFrame)]
    for d in dataframes:
        print(d.columns.values)
        print(len(d))

    print("*" * 100)