%matplotlib inline

import numpy as np
from matplotlib import pyplot as plt

def analyze(filename):
    data = np.loadtxt(fname=filename, delimiter=',')
    
    plt.figure(figsize=(10.0, 3.0))
    
    plt.subplot(1, 3, 1)
    plt.ylabel('average')
    plt.plot(data.mean(0))
    
    plt.subplot(1, 3, 2)
    plt.ylabel('max')
    plt.plot(data.max(0))
    
    plt.subplot(1, 3, 3)
    plt.ylabel('min')
    plt.plot(data.min(0))
    
    plt.tight_layout()
    plt.show()

analyze('inflammation-01.csv')

analyze('inflammation-02.csv')

def print_characters(element):
    print element[0]
    print element[1]
    print element[2]
    print element[3]

print_characters('lead')

print_characters('tin')

def print_characters(element):
    for char in element:
        print char

print_characters('lead')

print_characters('oxygen')

length = 0
for vowel in 'aeiou':
    length = length + 1
print 'There are', length, 'vowels'

letter = 'z'
for letter in 'abc':
    print letter
print 'after the loop, letter is', letter

print len('aeiou')

odds = [1, 3, 5, 7]
print 'odds are:', odds

print 'first and last:', odds[0], odds[-1]

for number in odds:
    print number

names = ['Newton', 'Darwing', 'Turing'] # typo in Darwin's name
print 'names is originally:', names
names[1] = 'Darwin' # correct the name
print 'final value of names:', names

name = 'Bell'
name[0] = 'b'

odds.append(11)
print 'odds after adding a value:', odds

del odds[0]
print 'odds after removing the first element:', odds

odds.reverse()
print 'odds after reversing:', odds

import glob

print glob.glob('*.ipynb')

print glob.glob('*.csv')

filenames = glob.glob('*.csv')
filenames = filenames[0:3]
for f in filenames:
    print f
    analyze(f)