Simple script for parsing Keras training console output and putting it into a Pandas dataframe

parse.py

import pandas as pd
import numpy as np
from collections import OrderedDict
import re

import ipdb

terms = OrderedDict([
    ("loss", []),
    ("acc", []),
    ("val_loss", []),
    ("val_acc", [])
])

with open("result", "r") as fi:
    lines = fi.readlines()

for li in lines:
    if "60000/60000" in li:
        res = re.findall("\d*\.\d*", li)
        r_i = 0
        for term, val in terms.iteritems():
            val.append(res[r_i])
            r_i += 1

pd.DataFrame(terms)
ipdb.set_trace()