Lab 6: Files, lists, Dictionaries
Goals and Objectives
The main goal this lab is for you to get a more practice with Pythons's File reading, lists, and dictionaries.
Task
You will write several functions that perform some simple computations using lists.
Background
Lists and dictionaries are especially useful in processing files. Many programs to store a collection of related items in files.
Introductions
Introduce yourself to your lab partner(s). Do you have plans for fall break?
Download the lab
Download the source file Lab06.py. It contains the stubs of Python functions. Open it in the online Python environment.
Download the source file declaration.txt. It contains the text of the Declaration of Independence, one of the founding documents of the USA.
Getting Started
In this lab, you will practice writing functions that process strings.
You should start off with s1 driving and s2 navigating.
Complete the functions in Lab06.py
. You should change driver/navigator roles
after each method is completed.
# Lab 6
# YOUR NAMES HERE
def warmup():
s1 = "one two three four five"
# split s1 into a list of five words
# YOUR CODE HERE
list1 = None
print(list1)
s2 = "one:two:three:four:five"
# split s2 into a list of five words
# YOUR CODE HERE
list2 = None
print(list2)
s3 = "one, two, three, four, five"
# split s3 into a list of five words
# YOUR CODE HERE
list3 = None
print(list3)
# trim any spaces from the start or end of each word in s3
# YOUR CODE HERE
list4 = None
print(list4)
d1 = dict()
d1['a'] = 1
d1['b'] = 3
d1['c'] = 3
d1['d'] = 2
print(d1)
# create a list containing just the keys of d1
# use the keys() function
# YOUR CODE HERE
list5 = None
print(list5) # ['a', 'b', 'c', 'd']
return None
# create a list containing just the values of d1
# use the values() function
# YOUR CODE HERE
list6 = None
print(list6) # [1, 3, 3, 5]
return None
# read the indicated text file and put all the words
# in a single list.
# remove punctuation and whitespace
def readFile(fileName):
return list()
# return a dictionary counting words in the list wordList
def counts(wordList):
return dict()
# return a the word that occurs most often in the
# given dictionary of word:count items
def mostFrequent(d):
return ''
# return a the average number of times words occur
# total number of words / total unique words
def average(d):
return 0
# return a list of words that occur more than average
# Use above functions
def mostUsed(wordList):
return list()
def main():
print("warmup")
warmup()
print("readFile")
words = readFile('declaration.txt')
print(len(words))
print("wordCounts")
wc = counts(words)
print(len(wc))
print("mostFrequent")
print(mostFrequent(wc))
print("average")
print(average(wc))
print("mostUsed")
common = mostUsed(words)
print(common)
print(len(common))
main()
Have Fun!
Final Steps
When done, email you lab partner and instructor your lab (.py file).