Difference between revisions of "CSC111 Homework 11 2018"
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[[User:Thiebaut|D. Thiebaut]] ([[User talk:Thiebaut|talk]]) 20:58, 19 April 2018 (EDT) | [[User:Thiebaut|D. Thiebaut]] ([[User talk:Thiebaut|talk]]) 20:58, 19 April 2018 (EDT) | ||
---- | ---- | ||
− | =Make-Up Homework= | + | <onlydft> |
+ | =Make-Up Homework 11= | ||
<br /> | <br /> | ||
<bluebox> | <bluebox> | ||
− | This homework is a make-up homework. You can use it to replace the lowest grade you have received on Homework Assignments 1 to 10. | + | This homework is due on Thursday, May 3rd, at 11:55 p.m. and is a make-up homework, and is optional. You can use it to replace the lowest grade you have received on Homework Assignments 1 to 10. |
<br /> | <br /> | ||
− | + | Below is the algorithm explaining how will count toward your homework average grade. | |
+ | </bluebox> | ||
+ | <br /> | ||
+ | |||
::<source lang="python"> | ::<source lang="python"> | ||
hws = [ HW1, HW2, HW3, HW4, HW5, HW6, HW7, HW8, HW9, HW10 ] | hws = [ HW1, HW2, HW3, HW4, HW5, HW6, HW7, HW8, HW9, HW10 ] | ||
Line 22: | Line 26: | ||
avgHW = sum( hws )/len( hws ) | avgHW = sum( hws )/len( hws ) | ||
</source> | </source> | ||
− | </ | + | <br /> |
+ | <br /> | ||
+ | <br /> | ||
+ | |||
+ | =Assignment= | ||
+ | <br /> | ||
+ | * Write a program that processes a csv file that has been downloaded from the department of eduction of the U.S. government. It contains the scorecard for 7,594 colleges and universities in the States. Each line of the csv file represents one college/university. This is what is called a ''scorecard''. Each scorecard contains 123 fields. The '''city''' where the college/university is located is the field at Index 4. The '''state''' is in the field at Index 5. | ||
+ | * The original file was downloaded from https://catalog.data.gov/dataset?res_format=CSV and is mirrored here: http://cs.smith.edu/~dthiebaut/111/collegeScorecard.csv | ||
+ | * <font color="red">You should use the smith college URL in your program.</font> | ||
+ | * Your program should output the 10 cities that contain the largest number of colleges and universities. | ||
+ | * The output should be formatted as followed: | ||
+ | |||
+ | 91 New York, NY | ||
+ | 76 Chicago, IL | ||
+ | ... | ||
+ | ... | ||
+ | ... | ||
+ | 40 Dallas, TX | ||
+ | |||
+ | :The first number is the number of universities or colleges, followed by the name of the city, followed by a comma, followed by the state, as two uppercase letters. | ||
+ | * Your program will not prompt for any input, and will only output 10 lines, as shown above. | ||
+ | * To help you test your program you are given the true first, second and tenth lines of the output. Your program will come up with the others. | ||
+ | * Your program should be '''well documented''' and make good use of functions. | ||
+ | * Submit your program as hw11.py in the Homework 11 section on Moodle. | ||
+ | <br /> | ||
+ | ==Warning== | ||
+ | <br /> | ||
+ | * Downloading the csv file from the URL may take between 3 to 30 seconds, depending on how busy the network and the server are... | ||
+ | <br /> | ||
+ | |||
+ | </onlydft> | ||
+ | <showafterdate after="20180504 12:00" before="20180601 00:00"> | ||
+ | <br /> | ||
+ | =Solution Program= | ||
+ | <br /> | ||
+ | ==Source== | ||
+ | <br /> | ||
+ | ::<source lang="python"> | ||
+ | # collegeScorecard.py | ||
+ | # https://ed-public-download.app.cloud.gov/downloads/Most-Recent-Cohorts-Scorecard-Elements.csv | ||
+ | |||
+ | URL = "http://cs.smith.edu/~dthiebaut/111/collegeScorecard.csv" | ||
+ | |||
+ | def getLines( fileName ): | ||
+ | '''Given a file name, reads the file and returns | ||
+ | all the lines contained in the file''' | ||
+ | file = open( fileName, 'r' ) | ||
+ | lines = file.read() | ||
+ | file.close() | ||
+ | lines = lines.split( "\n" ) | ||
+ | return lines | ||
+ | |||
+ | def getURLWriteToFile( URL, outputFileName ): | ||
+ | '''Given a URL, gets the text stored in the file on the Web | ||
+ | and saves it into a local file''' | ||
+ | from urllib.request import urlopen # library for fetching | ||
+ | # Web pages | ||
+ | # open the URL | ||
+ | response = urlopen(URL) | ||
+ | |||
+ | # get its contents, and store it in a string called text | ||
+ | text = response.read().decode('utf-8') | ||
+ | |||
+ | # save the string to file | ||
+ | open( outputFileName, "w" ).write( text ) | ||
+ | |||
+ | def main(): | ||
+ | # get the file from the URL, and save it locally | ||
+ | getURLWriteToFile( URL, "collegeScorecard.csv" ) | ||
+ | |||
+ | # get the lines from the local file | ||
+ | lines = getLines( "collegeScorecard.csv" ) | ||
+ | |||
+ | # get some information about the file | ||
+ | header = lines[0].split( ',' ) | ||
+ | noFields = len( header ) | ||
+ | |||
+ | # indices of fields of interest | ||
+ | cityIndex = 4 | ||
+ | stateIndex = 5 | ||
+ | |||
+ | # create a dictionary for counting the number of | ||
+ | # times each city and state appears in a line. | ||
+ | # | ||
+ | cityStateDico = {} | ||
+ | for line in lines[1: ]: | ||
+ | try: | ||
+ | city = line.split(',')[cityIndex].strip() | ||
+ | state = line.split(',')[stateIndex].strip() | ||
+ | except: | ||
+ | continue | ||
+ | |||
+ | # skip invalid states | ||
+ | if len( state ) != 2: | ||
+ | continue | ||
+ | |||
+ | # create a string containing both city and state | ||
+ | cityState = city + ", " + state | ||
+ | |||
+ | # if it's not in directory, add it, otherwise | ||
+ | # increment the counter associated with it | ||
+ | if cityState not in cityStateDico: | ||
+ | cityStateDico[ cityState ] = 1 | ||
+ | else: | ||
+ | cityStateDico[ cityState ] += 1 | ||
+ | |||
+ | # create a list of tuples for all the cities, with the | ||
+ | # counter first, and then the city name. | ||
+ | listCities = [] | ||
+ | for cityState in cityStateDico.keys(): | ||
+ | listCities.append( (cityStateDico[cityState], cityState ) ) | ||
+ | |||
+ | # sort and reverse the list | ||
+ | listCities.sort() | ||
+ | listCities.reverse() | ||
+ | |||
+ | # display the first 10 | ||
+ | for i in range( 10 ): | ||
+ | print( listCities[i][0], listCities[i][1] ) | ||
+ | |||
+ | |||
+ | main() | ||
+ | |||
+ | |||
+ | |||
+ | </source> | ||
+ | ==Output== | ||
+ | <br /> | ||
+ | 91 New York, NY | ||
+ | 76 Chicago, IL | ||
+ | 74 Houston, TX | ||
+ | 59 Los Angeles, CA | ||
+ | 52 San Antonio, TX | ||
+ | 50 Miami, FL | ||
+ | 48 Brooklyn, NY | ||
+ | 46 Philadelphia, PA | ||
+ | 42 Atlanta, GA | ||
+ | 40 Dallas, TX | ||
+ | <br /> | ||
+ | </showafterdate> | ||
+ | <br /> | ||
+ | [[Category:CSC111]][[Category:Homework]] |
Latest revision as of 12:47, 1 June 2018
D. Thiebaut (talk) 20:58, 19 April 2018 (EDT)
<showafterdate after="20180504 12:00" before="20180601 00:00">
Solution Program
Source
# collegeScorecard.py # https://ed-public-download.app.cloud.gov/downloads/Most-Recent-Cohorts-Scorecard-Elements.csv URL = "http://cs.smith.edu/~dthiebaut/111/collegeScorecard.csv" def getLines( fileName ): '''Given a file name, reads the file and returns all the lines contained in the file''' file = open( fileName, 'r' ) lines = file.read() file.close() lines = lines.split( "\n" ) return lines def getURLWriteToFile( URL, outputFileName ): '''Given a URL, gets the text stored in the file on the Web and saves it into a local file''' from urllib.request import urlopen # library for fetching # Web pages # open the URL response = urlopen(URL) # get its contents, and store it in a string called text text = response.read().decode('utf-8') # save the string to file open( outputFileName, "w" ).write( text ) def main(): # get the file from the URL, and save it locally getURLWriteToFile( URL, "collegeScorecard.csv" ) # get the lines from the local file lines = getLines( "collegeScorecard.csv" ) # get some information about the file header = lines[0].split( ',' ) noFields = len( header ) # indices of fields of interest cityIndex = 4 stateIndex = 5 # create a dictionary for counting the number of # times each city and state appears in a line. # cityStateDico = {} for line in lines[1: ]: try: city = line.split(',')[cityIndex].strip() state = line.split(',')[stateIndex].strip() except: continue # skip invalid states if len( state ) != 2: continue # create a string containing both city and state cityState = city + ", " + state # if it's not in directory, add it, otherwise # increment the counter associated with it if cityState not in cityStateDico: cityStateDico[ cityState ] = 1 else: cityStateDico[ cityState ] += 1 # create a list of tuples for all the cities, with the # counter first, and then the city name. listCities = [] for cityState in cityStateDico.keys(): listCities.append( (cityStateDico[cityState], cityState ) ) # sort and reverse the list listCities.sort() listCities.reverse() # display the first 10 for i in range( 10 ): print( listCities[i][0], listCities[i][1] ) main()
Output
91 New York, NY 76 Chicago, IL 74 Houston, TX 59 Los Angeles, CA 52 San Antonio, TX 50 Miami, FL 48 Brooklyn, NY 46 Philadelphia, PA 42 Atlanta, GA 40 Dallas, TX
</showafterdate>