You have the string below, which is a set of "yes/no" votes, where "y" or "Y" means yes and "n" or "N" means no. Determine the percentages of yes and no votes.
votes = "y y n N Y Y n n N y Y n Y"
Print out only words that start with "o", ignoring case::
lyrics = """My Bonnie lies over the ocean.
My Bonnie lies over the sea.
My Bonnie lies over the ocean.
Oh bring back my Bonnie to me."""
Bonus points: print out words only once.
Given a (partial) sentence from a speech, print out a list of the words in the sentence in alphabetical order. Also print out just the first two words and the last two words in the sorted list.
speech = """Four score and seven years ago our fathers brought forth
on this continent a new nation, conceived in Liberty, and
dedicated to the proposition that all men are created equal."""
Load and plot data from file data.txt. The file structure is as follows:
#time #sin #cos
0 0.000 1.000
1 0.063 0.998
2 0.125 0.992
3 0.187 0.982
4 0.249 0.969
5 0.309 0.951
6 0.368 0.930
... ... ...
# save to file
import numpy as np
t = np.arange(100)
y1 = np.sin(t*np.pi/50)
y2 = np.cos(t*np.pi/50)
f = open('data.txt', 'w')
print >> f, '%s\t%s\t%s' %("#time", "#sin", "#cos")
for i in range(t.size):
print >> f, "{0}\t{1:.3f}\t{2:.3f}".format(t[i],y1[i],y2[i])
f.close()
import matplotlib.pyplot as plt
t = []
s1 = []
c1 = []
# load from file
f = open('data.txt', 'r')
f.readline()
for line in f:
l = line.split()
t.append(l[0])
s1.append(l[1])
c1.append(l[2])
f.close()
plt.plot(t,s1,t,c1)
plt.legend(['sin','cos'])
plt.title('Plots')
plt.ylabel('sin and cos')
plt.xlabel('time')
plt.show()
Create a data structure to deal with students at the University (or patients in a hospital). Use "dictionary" data structure.
Dictionaries store key/value pairs. Indexing a dictionary by a key returns the value associated with it. The key must be immutable.
# Create an empty dictionary using curly brackets
my_dict = {}
# Each indexed assignment vreates a new key/value pair.
my_dict['first'] = 'Jan'
my_dict['second'] = 'Jakub'
my_dict['surname']= 'Nowak'
my_dict['born'] = 1990
my_dict['index_nr'] = 199210
my_dict