Write Code Questions

Exercises 8.13 Write Code Questions

The following data file uspoll.txt is used in some of the questions in this section. The data is City, State: PM10: PM2.5. PM 10 is annual mean amounts of particulate pollution that's over 2.5 and less than 10 micrometers in diameter, and PM2.5 is the annual mean amounts of particulate pollution that's 2.5 micrometers or less in diameter. Click show to see all of the data and hide to put it away.

Hint.

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
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

1.

Fix errors in the code below so that the code runs correctly and prints the pollution for all cities that start with the letter A.

Solution.

# Close quotations around "r"
inFile = open("uspoll.txt","r")

# Add a colon at the end
for line in inFile:
    values = line.split(":")
    city = values[0]
    if (city.find("A") == 0):
        # "+" is needed to concatenate strings and variables
        print('City: ' + city)
        print("Pollution values:",values[1],values[2])

inFile.close()

The program was missing a close double quote after the r on line 1. It was missing a colon at the end of line 3. It was missing a comma or plus sign between the values on line 7.

2.

Fix the errors in the code below so that it returns the average PM 2.5 value for the passed state (using the two letter abbreviation). Each line of the file is in the format City, State: PM10: PM2.5. For example, the first line is “Aberdeen, SD :13 :8”. It should print 11.33333333333333.

3.

The code below prints all the lines that have a city that starts with an “A”. Change it so that it prints out all lines that have a city that starts with “A” or “B”.

Solution.

# Read all the lines
inFile = open("uspoll.txt","r")
lines = inFile.readlines()
inFile.close()

# Loop through the lines
for line in lines:
    # Set condition for lines starting with A or B
    # Be sure to close parentheses to separate phrases
    if (line[0] == "A") | (line[0] == "B"):
        print(line)

4.

Fix the indention below for the code to correctly find and print the lowest 2.5 value and city. It should print Smallest PM 2.5 4.0 in Bellingham, WA.

5.

The following sample file called studentdata.txt contains one line for each student in an imaginary class. The student's name is the first thing on each line, followed by some exam scores. The number of scores might be different for each student.

joe 10 15 20 30 40
bill 23 16 19 22
sue 8 22 17 14 32 17 24 21 2 9 11 17
grace 12 28 21 45 26 10
john 14 32 25 16 89

Solution.

# Open the file in "read" mode
f = open("studentdata.txt", "r")

# iterate through lines in the file
for aline in f:
    # Split each item of the line
    items = aline.split()
    # Set condition for student that have 6 or more quiz scores
    # Element 0 is the name, so start with element 1
    if len(items[1:]) >= 6:
        # Print the name (element 0) if the condition is met
        print(items[0])
# Close the file
f.close()

6.

The following file contains a set of emotions that will be used in the next question.

Hint.

Sad upset blue down melancholy somber bitter troubled
Angry mad enraged irate irritable wrathful outraged infuriated
Happy cheerful content elated joyous delighted lively glad
Confused disoriented puzzled perplexed dazed befuddled
Excited eager thrilled delighted
Scared afraid fearful panicked terrified petrified startled
Nervous anxious jittery jumpy tense uneasy apprehensive

Create a list called j_emotions that contains every word in emotion_words.txt that begins with the letter “j”. After the code executes j_emotions should be ['joyous', 'jittery', 'jumpy']

7.

The rest of the questions gather their data from the file stocks.txt, which shows the monthly Dow Jones averages from 1989 to 2001. The data is in the order: Date, Open, High, Low, and Close. The first line is 3-Dec-01,9848.93,10220.78,9651.87,10021.57. The Date is in the format day-month-yy. The month is the first three letters of the month.

Hint.

Complete the code at the # so that it prints out the date with the biggest loss from open to close. Each line has: Date, Open, High, Low, and Close. It should print 3-Aug-98 loss 1329.030000000001.

Solution.

def biggestLoss(file):
    maxLoss = 0
    lines = file.readlines()
    # Use line to iterate through lines
    for line in lines:
        values = line.split(",")
        # Element 1 in values accesses the opening values
        opening = float(values[1])
        closing = float(values[4])
        # dailyLoss is the difference between opening and closing
        dailyLoss = opening - closing
        # Set condition if the dailyLoss is greater than the overall highest loss
        if (dailyLoss > maxLoss):
            maxLoss = dailyLoss
            # Element 0 is the date
            date = values[0]
    print(date + " loss " + str(maxLoss))

file = open("stocks.txt", "r")
biggestLoss(file)

8.

Fix the errors below so that the pointGain function returns a list of all the dates where the Dow Jones gained more than 300 points from open to close. Each line has: Date, Open, High, Low, and Close. The Date is in the format day-month-yy. There should be 22 dates.

9.

The code below prints all the dates and high price for dates that occur on the first day of the month (i.e. January 1, February 1…). Each line has: Date, Open, High, Low, and Close. Change it so that it prints the date and low price for all the dates that occur in June.

Solution.

file = open("stocks.txt", "r")
lines = file.readlines()
for line in lines:
    values = line.split(",")
    date = values[0]
    # date[2:5] accesses the 3 characters that express the month
    # if these are the letters for June, print the statement
    if date[2:5] == "Jun":
        print(date + " had a low value of " + values[3])

10.

Write a function avg_month_close(lines, month) that takes the lines from the stocks file in a list and the abbreviation for a month (i.e. “Jan”, “Feb”) as parameters and returns the average value of the closing prices during that month for all the years in the file. Each line has: Date, Open, High, Low, and Close. The Date is in the format day-month-yy. The month is just the first three letters of the month.

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Exercises 8.13 Write Code Questions

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