# 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)

df = pd.DataFrame({'name':   ['Raphael', 'Donatello'],

                   'mask':   ['red',     'purple'   ],

                   'weapon': ['sai',     'bo staff' ]})

df.to_csv(index=False)

import time

def get_now_time_string():

    return time.strftime("%Y%m%d_%H%M%S",time.localtime())

file_name = get_now_time_string() + '.csv'

df.to_csv(file_name)

print(file_name, 'saved.')