Mixed-up Code Questions

Section 8.12 Mixed-up Code Questions

Checkpoint 8.12.1.

Create a function write_line(file, output) that writes the contents of the string output to file. Be sure to add a newline character "\n" when you write output to the file.

def write_line(file, output):
---
    fout = open(file, 'w')
---
    fout = open(file, 'r')  #paired
---
    fout.write(output + "\n")
---
    fout.write(output)  #paired
---
    fout.close()
---
    fout.close  #paired

Checkpoint 8.12.2.

Create a function read_n_lines(file, n) that reads the first n lines from file and returns them in a list. Be sure to remove the end of line character from each line before you add it to the list and close the file after you have read the lines.

def read_n_lines(file, n):
---
    out = []
    f = open(file)
---
    for i in range(n):
---
    for i in range(n+1):  #paired
---
        line = f.readline()
---
        out.append(line.rstrip())
---
        out.append(line)  #paired
---
    f.close()
---
    return out

Checkpoint 8.12.3.

Create a function count_words(file) that returns the number of words in the passed file. First create a variable num and initialize it. Then open the file. Loop reading a line from the file. Break the line at spaces and add the length of the resulting list to num. After you have read all the lines, close the file and return num.

def count_words(file):
---
    num = 0
---
    file_obj = open(file, "r")
---
    for line in file_obj:
---
    for line in "file_obj":  #paired
---
        words = line.split(" ")
---
        words = line.break(" ")  #paired
---
        num = num + len(words)
---
        num = num + words  #paired
---
    file_obj.close()
---
    return(num)

Checkpoint 8.12.4.

Create a function count_starting_with(file, str) that returns the number of lines in the passed file that start with the characters in str. Be sure to close the file.

def count_starting_with(file, str):
---
    num = 0
---
    file_obj = open(file)
---
    for line in file_obj:
---
        if line.startswith(str):
---
        if line.startsWith(str):  #paired
---
            num += 1
---
    file_obj.close()
---
    file.close()  #paired
---
    return(num)

Checkpoint 8.12.5.

Create a function write_squares(file) which writes the squares of 1 (inclusive) to 10 (inclusive) with each one on a single line to file.

def write_squares(file)
---
    outfile = open(file, "w")
---
    for number in range(1, 11):
---
    for number in range(1, 10):  #paired
---
        square = number * number
---
        square = number * 2  #paired
---
        outfile.write(str(square) + "\n")
---
        outfile.write(str(square))  #paired
---
    outfile.close()
---
    close(outfile)  #paired

Checkpoint 8.12.6.

The following program should split the lines of “olympics.txt”, then print the name, team, and event of each athlete in a sentence. Unfortunately the code is mixed up. Drag the blocks of statements from the left column to the right column and put them in the right order. Watch out for extra pieces of code and indentation!

olypmicsfile = open("olympics.txt", "r")
---
olympicsfile = open(olympics.txt, "r")  #paired
---
for line in olympicsfile:
---
for line in olympicsfile  #paired
---
    values = line.split(",")
    print(values[0], "is from", values[3], "and is on the roster for", values[4])
---
olympicsfile.close()
---
olypmicsfile.close  #paired

The next 5 questions refer to pollution data in the US from the following file. It contains a city, state :PM10 :PM2.5 where PM is the particulate matter and PM10 is particulate matter that is course and 2.5 to 10 micrometers in diameter such as dust from vehicles on the road. PM2.5 is particulate matter that is 2.5 micrometers in diameter or smaller which are produced by combustion from things like gas-powered vehicles or forest fires. If you want to see all of the data click on the Show button below. Once it appears, you can hide it again by clicking on the Hide button.

Hint.

<pre id="uspoll.txt"> Aberdeen, SD :13 :8 Adrian, MI :15 :9 Akron, OH :18 :11 Albany, GA :18 :11 Albany-Lebanon, OR :14 :8 Albany-Schenectady-Troy, NY :13 :8 Albuquerque, NM :12 :7 Alexandria, LA :20 :12 Allegan, MI :14 :9 Allentown-Bethlehem-Easton, PA-NJ :21 :12 Altoona, PA :19 :12 Anchorage, AK :13 :8 Anderson, IN :18 :11 Ann Arbor, MI :16 :10 Appleton, WI :14 :9 Asheville, NC :15 :9 Athens, OH :14 :9 Athens, TN :15 :9 Athens-Clarke County, GA :16 :9 Atlanta-Sandy Springs-Marietta, GA :23 :14 Atlantic City-Hammonton, NJ :14 :8 Augusta-Richmond County, GA-SC :18 :11 Augusta-Waterville, ME :14 :9 Austin-Round Rock, TX :17 :10 Bakersfield, CA :24 :15 Baltimore-Towson, MD :20 :12 Bangor, ME :12 :7 Baraboo, WI :17 :10 Baton Rouge, LA :19 :11 Bay City, MI :13 :8 Beaver Dam, WI :15 :9 Beckley, WV :14 :8 Bellingham, WA :7 :4 Bennington, VT :11 :7 Birmingham-Hoover, AL :20 :12 Bishop, CA :11 :6 Bismarck, ND :11 :6 Bloomington, IN :17 :10 Bloomington-Normal, IL :16 :9 Boise City-Nampa, ID :17 :10 Boone, NC :13 :8 Boston-Cambridge-Quincy, MA-NH :16 :10 Boulder, CO :12 :7 Bowling Green, KY :17 :10 Bradenton-Sarasota-Venice, FL :12 :7 Brainerd, MN :8 :5 Bremerton-Silverdale, WA :7 :4 Bridgeport-Stamford-Norwalk, CT :16 :9 Brigham City, UT :12 :7 Brookings, SD :14 :9 Brownsville-Harlingen, TX :16 :10 Brunswick, GA :13 :8 Buffalo-Niagara Falls, NY :16 :9 Burlington, NC :14 :9 Burlington-South Burlington, VT :12 :7 Butte-Silver Bow, MT :19 :11 Cadillac, MI :10 :6 Cambridge, MD :13 :8 Canton-Massillon, OH :21 :12 Cape Coral-Fort Myers, FL :12 :7 Casper, WY :9 :5 Cedar Rapids, IA :16 :10 Champaign-Urbana, IL :16 :10 Charleston, WV :18 :11 Charleston-North Charleston-Summerville, SC :16 :10 Charlotte-Gastonia-Concord, NC-SC :16 :10 Charlottesville, VA :13 :8 Chattanooga, TN-GA :18 :11 Cheyenne, WY :9 :6 Chicago-Naperville-Joliet, IL-IN-WI :22 :13 Chico, CA :12 :7 Cincinnati-Middletown, OH-KY-IN :23 :14 Clarksburg, WV :16 :10 Clarksville, TN-KY :16 :10 Clearlake, CA :7 :4 Cleveland-Elyria-Mentor, OH :24 :15 Clinton, IA :18 :11 Colorado Springs, CO :12 :7 Columbia, SC :17 :10 Columbia, TN :14 :8 Columbus, GA-AL :19 :11 Columbus, OH :18 :11 Concord, NH :16 :9 Cookeville, TN :14 :9 Corning, NY :11 :7 Corpus Christi, TX :18 :11 Dallas-Fort Worth-Arlington, TX :20 :12 Daphne-Fairhope-Foley, AL :15 :9 Davenport-Moline-Rock Island, IA-IL :18 :11 Dayton, OH :18 :11 Decatur, AL :15 :9 Decatur, IL :17 :10 Deltona-Daytona Beach-Ormond Beach, FL :11 :6 Denver-Aurora-Broomfield, CO :14 :9 Des Moines-West Des Moines, IA :15 :9 Detroit-Warren-Livonia, MI :21 :12 Dickinson, ND :7 :4 Dothan, AL :15 :9 Dover, DE :14 :8 Duluth, MN-WI :11 :6 Durango, CO :7 :4 Durham, NC :14 :8 Durham-Chapel Hill, NC :14 :8 Dyersburg, TN :15 :9 East Stroudsburg, PA :13 :8 Eau Claire, WI :14 :8 El Centro, CA :24 :14 El Dorado, AR :18 :11 El Paso, TX :21 :12 Elizabethtown, KY :20 :12 Elkhart-Goshen, IN :21 :12 Erie, PA :19 :11 Eugene-Springfield, OR :13 :8 Eureka-Arcata-Fortuna, CA :11 :7 Evansville, IN-KY :19 :12 Fairbanks, AK :31 :19 Fairmont, WV :17 :10 Fargo, ND-MN :13 :8 Farmington, NM :8 :5 Fayetteville, NC :15 :9 Fayetteville-Springdale-Rogers, AR-MO :16 :10 Flagstaff, AZ :9 :5 Flint, MI :13 :8 Florence, SC :15 :9 Florence-Muscle Shoals, AL :15 :9 Fort Collins-Loveland, CO :12 :7 Fort Madison-Keokuk, IA-MO :18 :11 Fort Payne, AL :15 :9 Fort Smith, AR-OK :17 :10 Fort Wayne, IN :23 :14 Fresno, CA :74 :45 Gadsden, AL :16 :10 Gainesville, FL :12 :7 Gainesville, GA :16 :9 Gettysburg, PA :18 :11 Gillette, WY :13 :8 Goldsboro, NC :21 :13 Grand Island, NE :13 :8 Grand Junction, CO :12 :7 Grand Rapids-Wyoming, MI :16 :10 Grants Pass, OR :12 :7 Greeley, CO :13 :8 Green Bay, WI :16 :10 Greensboro-High Point, NC :14 :9 Greenville, NC :13 :8 Greenville-Mauldin-Easley, SC :16 :10 Grenada, MS :16 :9 Gulfport-Biloxi, MS :16 :10 Hagerstown-Martinsburg, MD-WV :19 :11 Hammond, LA :15 :9 Hanford-Corcoran, CA :28 :17 Harriman, TN :22 :13 Harrisburg-Carlisle, PA :20 :12 Harrisonburg, VA :15 :9 Hartford-West Hartford-East Hartford, CT :14 :9 Hattiesburg, MS :18 :11 Helena, MT :16 :9 Helena-West Helena, AR :16 :9 Hickory-Lenoir-Morganton, NC :16 :10 Hilo, HI :27 :16 Hobbs, NM :13 :8 Holland-Grand Haven, MI :15 :9 Homosassa Springs, FL :11 :7 Honolulu, HI :12 :7 Hot Springs, AR :18 :11 Houma-Bayou Cane-Thibodaux, LA :13 :8 Houston-Sugar Land-Baytown, TX :21 :13 Huntington-Ashland, WV-KY-OH :19 :11 Huntsville, AL :16 :9 Indianapolis-Carmel, IN :25 :15 Iowa City, IA :16 :10 Jackson, MS :19 :11 Jackson, TN :15 :9 Jackson, WY-ID :11 :6 Jacksonville, FL :13 :8 Jamestown-Dunkirk-Fredonia, NY :13 :8 Jasper, IN :18 :11 Johnstown, PA :19 :12 Juneau, AK :11 :6 Kahului-Wailuku, HI :11 :6 Kalamazoo-Portage, MI :17 :10 Kalispell, MT :13 :8 Kansas City, MO-KS :24 :15 Kapaa, HI :11 :7 Keene, NH :16 :10 Kingsport-Bristol-Bristol, TN-VA :15 :9 Kinston, NC :13 :8 Klamath Falls, OR :18 :11 Knoxville, TN :18 :11 Kokomo, IN :16 :10 La Crosse, WI-MN :14 :8 Laconia, NH :11 :7 Lafayette, IN :24 :14 Lafayette, LA :18 :11 Lake Charles, LA :14 :8 Lake Havasu City-Kingman, AZ :6 :4 Lakeland-Winter Haven, FL :13 :8 Lancaster, PA :21 :13 Lansing-East Lansing, MI :14 :9 Laramie, WY :9 :6 Las Cruces, NM :25 :15 Las Vegas-Paradise, NV :20 :12 Laurel, MS :18 :11 Lawrenceburg, TN :14 :8 Lebanon, NH-VT :11 :7 Lebanon, PA :24 :14 Lewiston-Auburn, ME :13 :8 Lexington-Fayette, KY :16 :10 Lima, OH :17 :10 Lincoln, NE :14 :9 Little Rock-North Little Rock-Conway, AR :19 :12 Logan, UT-ID :15 :9 Los Angeles-Long Beach-Santa Ana, CA :33 :20 Louisville/Jefferson County, KY-IN :22 :13 Lumberton, NC :14 :9 Lynchburg, VA :13 :8 Macon, GA :19 :12 Madera, CA :27 :16 Madison, WI :16 :9 Manchester-Nashua, NH :14 :8 Marshall, MN :12 :7 Marshall, TX :17 :10 McAlester, OK :19 :11 McAllen-Edinburg-Mission, TX :18 :11 Medford, OR :15 :9 Memphis, TN-MS-AR :17 :10 Merced, CA :18 :11 Meridian, MS :17 :10 Miami-Fort Lauderdale-Pompano Beach, FL :14 :8 Michigan City-La Porte, IN :16 :10 Middlesborough, KY :17 :10 Milwaukee-Waukesha-West Allis, WI :18 :11 Minneapolis-St. Paul-Bloomington, MN-WI :17 :10 Missoula, MT :21 :12 Mobile, AL :15 :9 Modesto, CA :25 :15 Monroe, LA :22 :13 Monroe, MI :16 :9 Montgomery, AL :18 :11 Morgantown, WV :15 :9 Mount Vernon, IL :14 :9 Muncie, IN :16 :10 Muscatine, IA :18 :11 Muskegon-Norton Shores, MI :15 :9 Napa, CA :23 :14 Nashville-Davidson--Murfreesboro--Franklin, TN :17 :10 New Castle, IN :15 :9 New Haven-Milford, CT :15 :9 New Orleans-Metairie-Kenner, LA :21 :13 New York-Northern New Jersey-Long Island, NY-NJ-PA :23 :14 Niles-Benton Harbor, MI :14 :9 Nogales, AZ :16 :10 Norwich-New London, CT :13 :8 Ogden-Clearfield, UT :15 :9 Oklahoma City, OK :16 :10 Omaha-Council Bluffs, NE-IA :19 :12 Orlando-Kissimmee, FL :12 :7 Owensboro, KY :18 :11 Oxnard-Thousand Oaks-Ventura, CA :16 :10 Paducah, KY-IL :17 :10 Palm Bay-Melbourne-Titusville, FL :10 :6 Parkersburg-Marietta-Vienna, WV-OH :17 :10 Pascagoula, MS :15 :9 Pendleton-Hermiston, OR :12 :7 Pensacola-Ferry Pass-Brent, FL :14 :8 Peoria, IL :16 :10 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD :28 :17 Phoenix-Mesa-Scottsdale, AZ :26 :16 Pittsburgh, PA :25 :15 Pittsfield, MA :14 :9 Platteville, WI :15 :9 Pocatello, ID :15 :9 Ponca City, OK :17 :10 Portland-South Portland-Biddeford, ME :15 :9 Portland-Vancouver-Beaverton, OR-WA :12 :7 Portsmouth, OH :16 :10 Poughkeepsie-Newburgh-Middletown, NY :13 :8 Prescott, AZ :7 :4 Prineville, OR :14 :9 Providence-New Bedford-Fall River, RI-MA :18 :11 Provo-Orem, UT :14 :8 Pueblo, CO :11 :7 Quincy, IL-MO :16 :10 Raleigh-Cary, NC :16 :9 Rapid City, SD :11 :6 Reading, PA :19 :11 Red Bluff, CA :14 :8 Redding, CA :10 :6 Reno-Sparks, NV :15 :9 Richmond, VA :15 :9 Richmond-Berea, KY :15 :9 Riverside-San Bernardino-Ontario, CA :34 :21 Riverton, WY :13 :8 Roanoke, VA :15 :9 Rochester, MN :13 :8 Rochester, NY :14 :9 Rock Springs, WY :13 :8 Rockford, IL :16 :9 Rocky Mount, NC :13 :8 Rome, GA :18 :11 Russellville, AR :14 :9 Rutland, VT :15 :9 Sacramento--Arden-Arcade--Roseville, CA :15 :9 Salinas, CA :10 :6 Salisbury, NC :16 :9 Salt Lake City, UT :15 :9 San Antonio, TX :14 :9 San Diego-Carlsbad-San Marcos, CA :24 :14 San Francisco-Oakland-Fremont, CA :16 :10 San Jose-Sunnyvale-Santa Clara, CA :16 :10 San Luis Obispo-Paso Robles, CA :16 :10 Santa Barbara-Santa Maria-Goleta, CA :14 :9 Santa Cruz-Watsonville, CA :10 :6 Santa Fe, NM :8 :5 Santa Rosa-Petaluma, CA :14 :8 Sault Ste. Marie, MI :14 :8 Savannah, GA :17 :10 Scottsbluff, NE :9 :6 Scranton--Wilkes-Barre, PA :14 :8 Seaford, DE :14 :8 Seattle-Tacoma-Bellevue, WA :16 :10 Sheridan, WY :14 :8 Shreveport-Bossier City, LA :26 :16 Sierra Vista-Douglas, AZ :11 :7 Sioux City, IA-NE-SD :16 :10 Sioux Falls, SD :14 :9 Somerset, KY :16 :10 South Bend-Mishawaka, IN-MI :21 :13 Spartanburg, SC :16 :10 Spokane, WA :12 :7 Springfield, IL :16 :10 Springfield, MA :15 :9 Springfield, MO :17 :10 Springfield, OH :17 :10 St. Cloud, MN :14 :8 St. George, UT :11 :7 St. Joseph, MO-KS :20 :12 St. Louis, MO-IL :22 :13 State College, PA :19 :11 Stockton, CA :21 :12 Syracuse, NY :12 :7 Talladega-Sylacauga, AL :17 :10 Tallahassee, FL :14 :9 Tampa-St. Petersburg-Clearwater, FL :13 :8 Terre Haute, IN :19 :12 Texarkana, TX-Texarkana, AR :18 :11 Thomasville-Lexington, NC :17 :10 Toledo, OH :17 :10 Topeka, KS :14 :9 Torrington, CT :9 :6 Trenton-Ewing, NJ :15 :9 Truckee-Grass Valley, CA :10 :6 Tucson, AZ :10 :6 Tulsa, OK :16 :10 Tupelo, MS :16 :10 Tuscaloosa, AL :16 :9 Ukiah, CA :12 :7 Valdosta, GA :14 :9 Vallejo-Fairfield, CA :15 :9 Vernal, UT :12 :7 Virginia Beach-Norfolk-Newport News, VA-NC :14 :8 Visalia-Porterville, CA :25 :15 Warner Robins, GA :16 :10 Washington-Arlington-Alexandria, DC-VA-MD-WV :19 :12 Waterloo-Cedar Falls, IA :16 :10 Watertown, SD :18 :11 Weirton-Steubenville, WV-OH :20 :12 Wenatchee, WA :17 :10 Wheeling, WV-OH :20 :12 Wichita, KS :16 :9 Wilmington, NC :14 :9 Winchester, VA-WV :16 :10 Winston-Salem, NC :15 :9 Worcester, MA :15 :9 Yakima, WA :17 :10 York-Hanover, PA :20 :12 Youngstown-Warren-Boardman, OH-PA :23 :14 Yuba City, CA :12 :7 Yuma, AZ :14 :9 </pre>

Checkpoint 8.12.7.

The following program prints the pollution information for all cities that start with a D, but the code is mixed up. Drag the blocks of statements from the left column to the right column and put them in the right order. Watch your indentation.

# open the file for reading
inFile = open("uspoll.txt","r")
---
# for each line in the file
for line in inFile:
---
    # split at the :
    v = line.split(":")
    # get the city
    city = v[0]
---
    # if city starts with an D print info
    if (city.find("D") == 0):
        print('City: ', city)
        print("Pollution values:",v[1],v[2])
---
# close the file
inFile.close()

Checkpoint 8.12.8.

PM 2.5 is an air pollutant that is harmful at high levels. The following program prints the maximum PM 2.5 pollution found, but the code is mixed up. Drag the blocks of statements from the left column to the right column and put them in the right order. Watch your indentation.

# read all the lines
inFile = open("uspoll.txt","r")
lines = inFile.readlines()
inFile.close()
# initialize the variables
maxCity = ''
max25 = 0
---
# loop through the lines
for line in lines:
---
    # split at :
    values = line.split(":")
---
    # get the PM 2.5 pollution
    new25 = float(values[2])
---
    # if current > max
    if new25 > max25:
---
        # save the new max info
        maxCity = values[0]
        max25 = new25
---
# print the largest PM 2.5 value
print("Largest is ",max25," in ",maxCity)

Checkpoint 8.12.9.

The following program prints the minimum PM 2.5 pollution found, but the code is mixed up. Drag the blocks of statements from the left column to the right column and put them in the right order. Watch your indentation.

# read all the lines
inFile = open("uspoll.txt","r")
lines = inFile.readlines()
inFile.close()
# initialize the variables
minCity = ''
min25 = 500
---
# loop through the lines
for line in lines:
---
    # split at :
    values = line.split(":")
---
    # get the PM 2.5 pollution
    new25 = float(values[2])
---
    # if current <  min
    if new25 < min25:
---
        # save new min info
        minCity = values[0]
        min25 = new25
---
# print the smallest PM 2.5 value
print("Smallest PM 2.5 ",min25," in ",minCity)

Checkpoint 8.12.10.

The following program prints the average PM 2.5 pollution found, but the code is mixed up. Drag the blocks of statements from the left column to the right column and put them in the right order. Watch your indentation.

# read all the lines
inFile = open("uspoll.txt","r")
lines = inFile.readlines()
inFile.close()
# initialize the variables
total25 = 0
count = 1.0
---
# loop through the lines
for line in lines:
---
    # split at :
    values = line.split(":")
---
    # get the PM 2.5 pollution
    new25 = float(values[2])
---
    # add to the total and count
    total25 = total25 + new25
    count = count + 1
---
# print the average PM 2.5 value
print("Average PM 2.5 value is ",total25/count)

Checkpoint 8.12.11.

The following program prints the average PM 2.5 pollution for a state, but the code is mixed up. Drag the blocks of statements from the left column to the right column and put them in the right order. Watch your indentation.

# read all the lines
infile = open("uspoll.txt","r")
lines = infile.readlines()
infile.close()
# initialize the variables
state = "CA"
total25 = 0
count = 1.0
---
# loop through the lines
for line in lines:
---
    # split at :
    values = line.split(":")
---
    # split at ,
    cityState = values[0].split(",")
---
    # if found state
    if cityState[1].find(state) >= 0:
---
        # add the current to the sum
        new25 = float(values[2])
        total25 = total25 + new25
        # increment the count
        count = count + 1
---
# print the average
avg = total25/count
print("Avg for " , state, " is ", avg)

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