eoa_curves.py

# require pandas 0.13+
import pandas as pd


def read_one(prefix, filename, alg):
    return pd.read_csv(prefix + "Mona_Lisa.bmp.LS.csv", sep="\t", index_col=0, header=None, names=['Evals', 'Error'])

##### CSV format:
# separator: \t
# no header
# two columns: first evaluation number, second error

filename = "Mona_Lisa.bmp"
alg = "LS"
raw_list = []
for i in range(10):
    prefix = "b%02d" % i
    raw_list.append(read_one(prefix, filename, alg))


dfm = pd.concat(raw_list, axis=1)

dfm.columns = map(str, range(10))
df_all_curves = dfm.interpolate()
df_all_curves.plot()


mean_curve = df_all_curves.mean(axis=1)
mean_curve.plot()