# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in 

import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory

import os
submission_file = "../input/submission/submission.csv"
sub = pd.read_csv(submission_file)
print(sub.shape)
sub.to_csv("submission.csv", index=False)
print("done")

# for fname in os.listdir("./"):
#     print(fname)