所以这是数据文件的简化版本:
Wichita, KS[3769,9734]279835
308 1002 1270 1068 1344 1360 1220 944 1192 748 1618 1774 416 1054
Wheeling, WV[4007,8072]43070
1017 1247 269 255 1513 327 589 203 1311 416 627 605 2442 998 85
West Palm Beach, FL[2672,8005]63305
1167 1550 1432 965 1249 2375 1160 718 1048 2175 760 1515 1459 3280 1794 1252
Wenatchee, WA[4742,12032]17257
3250 2390 1783 1948 2487 2595 1009 2697 2904 2589 1394 2690 1765 2912 117 1461
2358
Weed, CA[4142,12239]2879
622 3229 2678 1842 1850 2717 2898 1473 2981 3128 2880 1858 2935 2213 3213 505
1752 2659
Waycross, GA[3122,8235]19371
2947 2890 360 820 1192 1097 605 904 2015 828 386 703 1815 413 1155 1127
2920 1434 899
Wausau, WI[4496,8964]32426
1240 2198 1725 1600 708 841 1138 805 913 848 1015 1222 907 646 1008 111
1230 1777 509 676
Waukegan, IL[4236,8783]67653
244 1000 2260 1933 1360 468 757 1023 565 673 1056 775 982 667 854 768
170 990 1985 551 436
Watertown, SD[4490,9711]15649
601 393 1549 1824 1351 1909 1058 572 880 1155 1263 534 1365 1572 1257 394
1358 433 1580 1403 156 1026
我目前可以从该行拆分城市和州名。如何通过调用城市名称来获取城市的坐标。如何通过拨打城市名称来获得城市人口? [x,y]
是[]
之后的坐标和数字。
以下是我现在的代码:
fin = open("miles.txt","r")
cities=[]
for line in fin:
A=line.split()
if A[0][0] not in '0123456789':
B= A[0] + A[1][0]+ A[1][1]
cities.append[B]
print cities
谢谢!任何帮助将不胜感激!
答案 0 :(得分:1)
def parse_cities(fin):
cities = {}
distances = {}
order = []
index = 0
valid_city = False
for line in fin:
if '[' in line: # city line
# .partition() will always return three strings
citystate, left, rest = line.partition('[')
coordinates, right, population = rest.partition(']')
lat, comma, lng = coordinates.partition(',')
# drop any surrounding whitespace
citystate = citystate.strip()
lat = lat.strip()
lng = lng.strip()
population = population.strip()
# validity check
valid_city = (
# delimiters must exist
left and right and comma and
# numbers must be valid
lat.isdigit() and lng.isdigit() and population.isdigit()
)
if not valid_city: continue
order.append(citystate)
cities[citystate] = (int(lat), int(lng), int(population))
index = 0
elif line and line[0].isdigit() and valid_city: # distance line
# citystate variable from previous iteration
# index variable will be reset for each new city,
# but otherwise increase between the lines
for dist in [int(w) for w in line.split()]:
if index >= len(order): break
citystate2 = order[index]
distances[citystate,citystate2] = dist
distances[citystate2,citystate] = dist
index += 1
return cities, distances
with open("miles.txt","r") as fin:
cities, distances = parse_cities(fin)
print cities['Waycross, GA'] # (3122, 8235, 19371)
print distances['Youngstown, OH', 'Yakima, WA'] # 1513