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plot-data.py
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plot-data.py
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import matplotlib.pyplot as plt
import pandas as pd
import argparse
"""
plot-data
---
Utility for plotting data.
"""
DEFAULT_FONTSIZE = 6
DEFAULT_LINESIZE = 0.5
plt.rcParams["font.size"] = DEFAULT_FONTSIZE
parser = argparse.ArgumentParser()
parser.add_argument('--experiment_name', type=str, default='experiment_default', help='name of experiment')
args = parser.parse_args()
def plot_loss_plots(df, experiment_name = '', linewidth=0.5):
fig = plt.figure(figsize=(6, 3), dpi=300)
# Three ints for add_subplot: nrows, ncols, index
gplt = fig.add_subplot(211)
dplt = fig.add_subplot(212)
gplt.plot(df['Iter'].values, df['Dloss'].values, color='b', linewidth=linewidth, label='Discriminator loss')
gplt.plot(df['Iter'].values, df['Gloss'].values, color='r', linewidth=linewidth, label='Generator loss')
dplt.plot(df['Iter'].values, df['Gloss'].values, color='r', linewidth=linewidth, label='Generator loss')
dplt.plot(df['Iter'].values, df['Dloss'].values, color='b', linewidth=linewidth, label='Discriminator loss')
gplt.set_title(experiment_name + ': Generator loss (stacked on Discriminator loss)')
dplt.set_title(experiment_name + ': Discriminator loss (stacked on Generator loss)')
plt.legend()
plt.xlabel('Iteration')
plt.ylabel('Loss')
plt.tight_layout() # Fix sizing
plt.show()
"""
Main part of script
"""
linesize = DEFAULT_LINESIZE
ename = args.experiment_name
df = pd.read_csv('./' + args.experiment_name + '/data.csv', index_col=False) # No column is the index column
plot_loss_plots(df, experiment_name=ename, linewidth=linesize)