我有以下列表，其中包含许多其他列表和词典：
market_book_result = [{'betDelay': 0,
'bspReconciled': False,
'complete': True,
'crossMatching': True,
'inplay': False,
'isMarketDataDelayed': True,
'lastMatchTime': '2019-03-11T11:40:44.078Z',
'marketId': '1.156023330',
'numberOfActiveRunners': 12,
'numberOfRunners': 12,
'numberOfWinners': 1,
'runners': [{'adjustmentFactor': 62.5,
'ex': {'availableToBack': [{'price': 1.42, 'size': 94.47},
{'price': 1.41, 'size': 157.16},
{'price': 1.4, 'size': 426.93}],
'availableToLay': [{'price': 1.43, 'size': 52.36},
{'price': 1.44, 'size': 166.83},
{'price': 1.45, 'size': 99.06}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 1.44,
'selectionId': 13079071,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 18.854,
'ex': {'availableToBack': [{'price': 4.8, 'size': 18.28},
{'price': 4.7, 'size': 18.45},
{'price': 4.6, 'size': 22.06}],
'availableToLay': [{'price': 5.0, 'size': 42.1},
{'price': 5.1, 'size': 156.12},
{'price': 5.2, 'size': 13.85}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 5.0,
'selectionId': 13101666,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 4.702,
'ex': {'availableToBack': [{'price': 23.0, 'size': 13.84},
{'price': 20.0, 'size': 10.36},
{'price': 19.0, 'size': 10.15}],
'availableToLay': [{'price': 40.0, 'size': 18.11},
{'price': 55.0, 'size': 55.07},
{'price': 80.0, 'size': 24.04}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 29.0,
'selectionId': 12412709,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 3.766,
'ex': {'availableToBack': [{'price': 42.0, 'size': 14.78},
{'price': 34.0, 'size': 19.57},
{'price': 28.0, 'size': 10.28}],
'availableToLay': [{'price': 50.0, 'size': 10.12},
{'price': 80.0, 'size': 45.05},
{'price': 90.0, 'size': 15.4}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 50.0,
'selectionId': 15700821,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 2.853,
'ex': {'availableToBack': [{'price': 27.0, 'size': 10.96},
{'price': 22.0, 'size': 12.91},
{'price': 21.0, 'size': 10.45}],
'availableToLay': [{'price': 60.0, 'size': 12.13},
{'price': 70.0, 'size': 20.02},
{'price': 80.0, 'size': 35.05}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 38.0,
'selectionId': 22652454,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 1.952,
'ex': {'availableToBack': [{'price': 110.0, 'size': 12.61},
{'price': 85.0, 'size': 13.66},
{'price': 70.0, 'size': 11.09}],
'availableToLay': [{'price': 730.0, 'size': 17.16},
{'price': 1000.0, 'size': 2.38}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 250.0,
'selectionId': 13264025,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 1.803,
'ex': {'availableToBack': [{'price': 65.0, 'size': 11.25},
{'price': 48.0, 'size': 14.92},
{'price': 34.0, 'size': 19.39}],
'availableToLay': [{'price': 95.0, 'size': 13.94},
{'price': 140.0, 'size': 13.38},
{'price': 230.0, 'size': 35.05}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 95.0,
'selectionId': 13747442,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 1.43,
'ex': {'availableToBack': [{'price': 370.0, 'size': 12.56},
{'price': 140.0, 'size': 10.16},
{'price': 100.0, 'size': 73.2}],
'availableToLay': [{'price': 1000.0, 'size': 10.71}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 740.0,
'selectionId': 20765364,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 1.148,
'ex': {'availableToBack': [{'price': 130.0, 'size': 11.08},
{'price': 95.0, 'size': 60.19},
{'price': 65.0, 'size': 11.26}],
'availableToLay': [{'price': 1000.0, 'size': 6.38}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 590.0,
'selectionId': 15803027,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 0.369,
'ex': {'availableToBack': [{'price': 1000.0, 'size': 30.95},
{'price': 510.0, 'size': 16.54},
{'price': 220.0, 'size': 82.29}],
'availableToLay': [],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 1000.0,
'selectionId': 21632638,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 0.352,
'ex': {'availableToBack': [{'price': 370.0, 'size': 13.25},
{'price': 270.0, 'size': 22.52},
{'price': 200.0, 'size': 13.92}],
'availableToLay': [{'price': 980.0, 'size': 11.83},
{'price': 1000.0, 'size': 10.81}],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 940.0,
'selectionId': 15715002,
'status': 'ACTIVE',
'totalMatched': 0.0},
{'adjustmentFactor': 0.273,
'ex': {'availableToBack': [{'price': 1000.0, 'size': 245.38},
{'price': 600.0, 'size': 14.33},
{'price': 500.0, 'size': 37.24}],
'availableToLay': [],
'tradedVolume': []},
'handicap': 0.0,
'lastPriceTraded': 1000.0,
'selectionId': 22760633,
'status': 'ACTIVE',
'totalMatched': 0.0}],
'runnersVoidable': False,
'status': 'OPEN',
'totalAvailable': 891400.06,
'totalMatched': 56244.82,
'version': 2681378822}]
我可以像这样访问每个名为price的键的值：
market_book_result[0]['runners'][0]['ex']['availableToBack'][0]['price']
market_book_result[0]['runners'][1]['ex']['availableToBack'][0]['price']
market_book_result[0]['runners'][2]['ex']['availableToBack'][0]['price']
我想使用for循环访问这些值。为此，我尝试了以下方法：
for i in market_book_result[0]['runners']:
x = market_book_result[0]['runners'][i]['ex']['availableToBack'][0]['price']
print(x)
但这会导致以下错误：
TypeError: list indices must be integers or slices, not dict
我查看了这个问题Python access dictionary inside list of a dictionary，并将代码调整为以下内容：
for dic in market_book_result[0]['runners']:
for key,value in market_book_result[0]['runners'][dic]['ex']['availableToBack'][0]['price'].iteritems():
print(value)
但这会导致以下错误：
TypeError: list indices must be integers or slices, not dict
如果有人可以使用for循环帮助我为所有12位跑步者访问market_book_result[0]['runners'][0]['ex']['availableToBack'][0]['price']，那么这是很好的选择。
干杯， 桑迪
答案 0 :(得分：4)
像这样迭代时，“ i”已经是流浪者的一个元素（一个字典，而不是一个整数）。所以你应该这样做：
for runner in market_book_result[0]['runners']:
x = runner['ex']['availableToBack'][0]['price']
print(x)
编辑：如“ Philipp F”所建议的那样，我将“ i”重命名为“跑步者”以提高可读性。
答案 1 :(得分：2)
尝试一下
please enter your name
Caleb
your name is Caleb
答案 2 :(得分：1)
您必须遍历一个数字或一个范围。由于字典中存储的跑步人数众多，为什么不使用它呢？
for i in range(market_book_result['numberOfRunners']):
x = market_book_result[0]['runners'][i]['ex']['availableToBack'][0]['price']
print(x)