erikaris

# This function uses global variable s
# s is only used for printing --> no problem happens
def f(): 
     print(s)

# Global scope
s = "Erika Siregar"
f()

erikaris

# Modified from Coursera

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from random import shuffle

origins = ['China', 'Brazil', 'India', 'USA', 'Canada', 'UK', 'Germany', 'Iraq', 'Chile', 'Mexico']

shuffle(origins)

erikaris

# Modified from Coursera.org

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.figure()
data = np.random.rand(10)
plt.plot(data, '-o')

erikaris

"""
Matplotlib Animation Example

author: Jake Vanderplas
email: [email protected]
website: http://jakevdp.github.com
license: BSD
Please feel free to use and modify this, but keep the above information. Thanks!
"""

erikaris

mystr = "erika"

for s in mystr:
   print(s, end=" ")

it = iter(mystr)
print("\nThis is how iterator looks like:", list(it))

erikaris

mystr = "erika"

for s in mystr:
   print(s, end=" ")

it = iter(mystr)
print("\n", it)

print(next(it))   # the next() function returns the next value and advances the state
print(next(it))   # the next() function returns the next value and advances the state

erikaris

# Modified from Coursera

# how to do an animation in matplotlib:

# step 1: import the animation module
import matplotlib.animation as animation
import numpy as np
import matplotlib.pyplot as plt
# another way to import:
# from matplotlib animation import FuncAnimation

erikaris

# modified from: http://jmduke.com/posts/a-gentle-introduction-to-itertools/

import itertools

letters = ['a', 'b', 'c', 'd', 'e', 'f']
booleans = [1, 0, 1, 0, 0, 1]
numbers = [23, 20, 44, 32, 7, 12]
decimals = [0.1, 0.7, 0.4, 0.4, 0.5]

print("before cast to a list:     " + str(itertools.chain(letters, booleans, decimals)))

erikaris

a = np.random.rand()  #return a single Python float
b = np.random.rand(2, 3) #return a 2*3 arrays. 
print(" a = {} \n b = {}".format(a, b))

erikaris

# modified from Coursera.org

plt.figure()

Y = np.random.normal(loc=0.0, scale=1.0, size=10000)
X = np.random.random(size=10000)
plt.hist2d(X, Y, bins=25)
plt.colorbar()