gistfile1.txt

 ⚙⮀~/test⮀ cat test.py
print("=========================================================")
print(
    format("Name", '<12s'),
    format("Type", '<15s'),
    format("Location", '<10s'),
    format("KwH", '>6s'),
    format("Total", '>10s')
)
print("=========================================================")
total = 0
for i in range(10):
    custName, custType, custLoc, custKwh = input().split(' ')
    custKwh = int(custKwh)
    if (custType == "R"):
        custType = "Residential"
    if (custType == "B"):
        custType = "Business"
        total = (custKwh * 0.05710) + 10
    if (custLoc == "C"):
        custLoc = "City"
        total = (custKwh * 0.0401) + 6
    if (custLoc == "P"):
        custLoc = "Parish"
        total = (custKwh * 0.04411) + 6.60
    print(
        format(custName, '<12s'),
        format(custType, '<15s'),
        format(custLoc, '<10s'),
        format(custKwh, '>6d'),
        format(total, '>10.2f')
    )
 ⚙⮀~/test⮀ cat pa3.data
Smith R P 4500
Taylor R C 6000
Williams B C 10500
Johnson R C 7500
Davis R P 3000
Woods B P 25300
Morgan R C 5800
Landry R C 3900
Young B P 18500
Wilson R P 7000
 ⚙⮀~/test⮀ python3 test.py < pa3.data
=========================================================
Name         Type            Location      KwH      Total
=========================================================
Smith        Residential     Parish       4500     205.09
Taylor       Residential     City         6000     246.60
Williams     Business        City        10500     427.05
Johnson      Residential     City         7500     306.75
Davis        Residential     Parish       3000     138.93
Woods        Business        Parish      25300    1122.58
Morgan       Residential     City         5800     238.58
Landry       Residential     City         3900     162.39
Young        Business        Parish      18500     822.64
Wilson       Residential     Parish       7000     315.37