Commit 8774b988e43462ca1a216c5a2514b688eada570c
1 parent
81260862fd
Exists in
master
New scatter plot module
Showing 1 changed file with 71 additions and 0 deletions Side-by-side Diff
volia/plot.py
| 1 | +import argparse | |
| 2 | +import matplotlib.pyplot as plt | |
| 3 | +import numpy as np | |
| 4 | +import pandas as pd | |
| 5 | + | |
| 6 | +from core.data import read_features, read_lst, read_labels | |
| 7 | +from utils import SubCommandRunner | |
| 8 | + | |
| 9 | + | |
| 10 | +def scatter_plot(features: str, labels: str, outfile: str): | |
| 11 | + """Generate a simple scatter plot. Mainly used for | |
| 12 | + data visualisation processed with tsne or algorithm like | |
| 13 | + this later. | |
| 14 | + | |
| 15 | + Args: | |
| 16 | + features (str): Features file in 2d or 3d | |
| 17 | + labels (str): Labels file | |
| 18 | + outfile (str) : output file | |
| 19 | + """ | |
| 20 | + | |
| 21 | + id_to_features = read_features(args.features) | |
| 22 | + ids = [ key for key in id_to_features.keys() ] | |
| 23 | + utt2label = read_labels(labels) | |
| 24 | + | |
| 25 | + features = [ id_to_features[id_] for id_ in ids ] | |
| 26 | + features = np.vstack(features) | |
| 27 | + | |
| 28 | + labels_list = [ utt2label[id_][0] for id_ in ids ] | |
| 29 | + | |
| 30 | + features_T = features.transpose() | |
| 31 | + print("Number of labels: ", len(np.unique(labels_list))) | |
| 32 | + df = pd.DataFrame(dict( | |
| 33 | + x=features_T[0], | |
| 34 | + y=features_T[1], | |
| 35 | + label=labels_list)) | |
| 36 | + | |
| 37 | + groups = df.groupby('label') | |
| 38 | + | |
| 39 | + # Plot | |
| 40 | + fig, ax = plt.subplots() | |
| 41 | + | |
| 42 | + for label, group in groups: | |
| 43 | + p = ax.plot(group.x, group.y, marker='o', linestyle='', ms=1, label=label) | |
| 44 | + ax.legend() | |
| 45 | + plt.savefig(outfile) | |
| 46 | + print("Your plot is saved well (no check of this affirmation)") | |
| 47 | + | |
| 48 | + | |
| 49 | + | |
| 50 | +if __name__ == '__main__': | |
| 51 | + | |
| 52 | + # Main parser | |
| 53 | + parser = argparse.ArgumentParser(description="") | |
| 54 | + subparsers = parser.add_subparsers(title="action") | |
| 55 | + | |
| 56 | + # with label | |
| 57 | + parser_scatter = subparsers.add_parser("scatter") | |
| 58 | + parser_scatter.add_argument("features", type=str, help="define the main features file") | |
| 59 | + parser_scatter.add_argument("--labels", default=None, type=str, help="specify the labels of each utterance/element") | |
| 60 | + parser_scatter.add_argument("--outfile", default="./out.pdf", type=str, help="Specify the output file (better in pdf)") | |
| 61 | + parser_scatter.set_defaults(which="scatter") | |
| 62 | + | |
| 63 | + # Parse | |
| 64 | + args = parser.parse_args() | |
| 65 | + | |
| 66 | + # Run commands | |
| 67 | + runner = SubCommandRunner({ | |
| 68 | + "scatter" : scatter_plot | |
| 69 | + }) | |
| 70 | + | |
| 71 | + runner.run(args.which, args.__dict__, remove="which") |