我需要解析此XML Document并将日期和时间转换为%Y-%m-%d %H:%M:%S格式以及将变量hourly-qpf和probability-of-precipitation移动到制表符分隔的列中.txt文件。
使用以下代码在XML文件中读取我所能做的所有事情：
page = urllib2.urlopen('http://forecast.weather.gov/MapClick.php?lat=47.6062&lon=-122.3321&FcstType=digitalDWML')
page_content = page.read()
with open('KBFI.xml', 'w') as fid:
fid.write(page_content)
此后我不知所措。我之前只解析过一个XML文档，它看起来与此完全不同。
修改
很抱歉没有给你们任何东西，但我不知道使用什么模块，因为我只有minidom的经验，这似乎不是正确的选择。我一直在搞乱Element Tree，我想出了这个：
data = []
import xml.etree.ElementTree as ET
tree = ET.parse('KBFI.xml')
root = tree.getroot()
for data in root.findall('data'):
for time-layout in root.findall('time-layout'):
start-valid-time = time-layout.find('start-valid-time')
time = datetime.datetime.strptime(start-valid-time, '%Y-%m-%dT%H:%M:%S')
for parameters in root.findall('parameters'):
for probability-of-precipitation in root.findall('probability-of-precipitation'):
value = probability-of-precipitation.find('value')
for hourly-qpf in root.findall('hourly-qpf'):
value2 = hourly-qpf.find('value')
data = data.append([time,
value,
value2])
with open('KBFI.txt','w') as file:
file.writelines('\t'.join(map(str,i)) + '\n' for i in data)
但是，存在一个问题，因为变量是连字符，我不知道如何将它们更改为下划线或删除它们。另外，因为这个，我不知道我的代码是否有用！
答案 0 :(得分：2)
您可以使用python xml lib：
https://docs.python.org/2/library/xml.etree.elementtree.html
import urllib2
import xml.etree.ElementTree as ET
page = urllib2.urlopen('http://forecast.weather.gov/MapClick.php?lat=47.6062&lon=-122.3321&FcstType=digitalDWML')
page_content = page.read()
root = ET.fromstring(page_content)
for _f in root.itertext():
***Do your formatting here***
答案 1 :(得分：1)
我建议使用xmltodict从XML解析和提取数据，因为它简单易用，因为它使用与XML源相同的嵌套将XML转换为Python dicts。对于熟悉Python语法的人来说，使用它是很自然的，Python dicts是完全通用的，这意味着它们能够表达异构和嵌套的数据结构。例如，Pickling Tools Library依赖Python Python，Python，C ++和Java数据互操作性，并提供将XML转换为dict的工具。 xmltodict的优点在于它的小巧，快速，以及用于将XML转换为dict的独立模块。
作为xmltodict用法的示例，以下脚本会下载this XML document并提取其创建日期以及降水概率和每小时qpf值的列表：
import requests
url='http://forecast.weather.gov/MapClick.php?lat=47.6062&lon=-122.3321&FcstType=digitalDWML'
r = requests.get(url)
import xmltodict
result = xmltodict.parse(r.text)
cd = result['dwml']['head']['product']['creation-date']['#text']
print("creation-date =",cd)
pop = result['dwml']['data']['parameters']['probability-of-precipitation']['value']
print("\nprobability-of-precipitation =", pop)
hqpf = result['dwml']['data']['parameters']['hourly-qpf']['value']
print("\nhourly-qpf =", hqpf)
以下是运行此脚本的输出（在20150730上）：
creation-date = 2015-07-30T08:53:12-07:00
probability-of-precipitation = ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '7', '7', '7', '7', '7', '7', '7', '7', '7', '7', '7', '7', '5', '5', '5', '5', '5', '5', '5', '5', '5', '5', '5', '5', '8', '8', '8', '8', '8', '8', '8', '8', '8', '8', '8', '8', '6', '6', '6', '6', '6', '6', '6', '6', '6', '6', '6', '6', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '28', '28', '28', '28', '28', '28']
hourly-qpf = ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0.0067', '0.0067', '0.0067', '0.0067', '0.0067', '0.0067', '0.0033', '0.0033', '0.0033', '0.0033', '0.0033', '0.0033', '0.0067', '0.0067', '0.0067', '0.0067', '0.0067', '0.0067']
xmltodict可以使用'pip install xmltodict'安装。它由Martin Blech开发，其GitHub项目位于https://github.com/martinblech/xmltodict。
为了访问开始 - 有效 - 时间和结束 - 有效 - 时间，它有助于了解其数据结构及其位置。由于两者都是用相同标签包围的一系列值，因此直观地说，每个系列应该在一个单独的列表中形成一个键的值，其名称类似于降水概率和每小时qpf。这可以通过打印整个结果dict并检查其中的start-valid-time和end-valid-time的格式来确认，这可以通过漂亮打印结果dict（使用import pprint然后运行pprint.pprint）来实现。结果））。对于this XML document，漂亮打印其等效的dict会产生超过2000行，但是启动有效时间从第26行开始，其值显然是一个列表：
{'dwml': {'@version': '1.0',
'@xmlns:xsd': 'http://www.w3.org/2001/XMLSchema',
'@xmlns:xsi': 'http://www.w3.org/2001/XMLSchema-instance',
'@xsi:noNamespaceSchemaLocation': 'http://graphical.weather.gov/xml/DWMLgen/schema/DWML.xsd',
'head': {'product': {'@concise-name': 'tabular-digital',
'@operational-mode': 'developmental',
'@srsName': 'WGS 1984',
'creation-date': {'@refresh-frequency': 'PT1H',
'#text': '2015-07-31T14:20:30-07:00'}},
'source': {'production-center': 'Seattle, WA',
'credit': 'http://www.wrh.noaa.gov/sew',
'more-information': 'http://www.nws.noaa.gov/forecasts/xml/'}},
'data': {'location': {'location-key': 'point1',
'description': 'Downtown Seattle WA, WA',
'point': {'@latitude': '47.61',
'@longitude': '-122.32'},
'city': {'@state': 'WA',
'#text': 'Downtown Seattle WA'},
'height': {'@datum': 'mean sea level',
'#text': '240'}},
'moreWeatherInformation': {'@applicable-location': 'point1',
'#text': 'http://forecast.weather.gov/MapClick.php?lat=47.61&lon=-122.32&FcstType=digital'},
'time-layout': {'@time-coordinate': 'local',
'@summarization': 'none',
'layout-key': 'k-p1h-n1-0',
'start-valid-time': ['2015-07-31T16:00:00-07:00',
'2015-07-31T17:00:00-07:00',
'2015-07-31T18:00:00-07:00',
...
这是一个脚本，它提取并打印创建日期作为标量值，列表中的所有开始 - 有效 - 时间值，列表中的所有结束有效时间值，所有降水概率值list和列表中的所有hourly-qpf值，并打印每个提取列表的长度：
import xmltodict
result = xmltodict.parse(r.text)
cd = result['dwml']['head']['product']['creation-date']['#text']
print("creation-date =",cd)
svt = result['dwml']['data']['time-layout']['start-valid-time']
print("\nstart-valid-time =", svt)
print("number of start-valid-time entries =", len(svt))
evt = result['dwml']['data']['time-layout']['end-valid-time']
print("\nend-valid-time =", evt)
print("number of end-valid-time entries =", len(evt))
pop = result['dwml']['data']['parameters']['probability-of-precipitation']['value']
print("\nprobability-of-precipitation =", pop)
print("number of probability-of-precipitation entries =", len(pop))
hqpf = result['dwml']['data']['parameters']['hourly-qpf']['value']
print("\nhourly-qpf =", hqpf)
print("number of hourly-qpf entries =", len(hqpf))
以下是运行此脚本的输出（在20150731上）：
creation-date = 2015-07-31T14:20:30-07:00
start-valid-time = ['2015-07-31T16:00:00-07:00', '2015-07-31T17:00:00-07:00', '2015-07-31T18:00:00-07:00', '2015-07-31T19:00:00-07:00', '2015-07-31T20:00:00-07:00', '2015-07-31T21:00:00-07:00', '2015-07-31T22:00:00-07:00', '2015-07-31T23:00:00-07:00', '2015-08-01T00:00:00-07:00', '2015-08-01T01:00:00-07:00', '2015-08-01T02:00:00-07:00', '2015-08-01T03:00:00-07:00', '2015-08-01T04:00:00-07:00', '2015-08-01T05:00:00-07:00', '2015-08-01T06:00:00-07:00', '2015-08-01T07:00:00-07:00', '2015-08-01T08:00:00-07:00', '2015-08-01T09:00:00-07:00', '2015-08-01T10:00:00-07:00', '2015-08-01T11:00:00-07:00', '2015-08-01T12:00:00-07:00', '2015-08-01T13:00:00-07:00', '2015-08-01T14:00:00-07:00', '2015-08-01T15:00:00-07:00', '2015-08-01T16:00:00-07:00', '2015-08-01T17:00:00-07:00', '2015-08-01T18:00:00-07:00', '2015-08-01T19:00:00-07:00', '2015-08-01T20:00:00-07:00', '2015-08-01T21:00:00-07:00', '2015-08-01T22:00:00-07:00', '2015-08-01T23:00:00-07:00', '2015-08-02T00:00:00-07:00', '2015-08-02T01:00:00-07:00', '2015-08-02T02:00:00-07:00', '2015-08-02T03:00:00-07:00', '2015-08-02T04:00:00-07:00', '2015-08-02T05:00:00-07:00', '2015-08-02T06:00:00-07:00', '2015-08-02T07:00:00-07:00', '2015-08-02T08:00:00-07:00', '2015-08-02T09:00:00-07:00', '2015-08-02T10:00:00-07:00', '2015-08-02T11:00:00-07:00', '2015-08-02T12:00:00-07:00', '2015-08-02T13:00:00-07:00', '2015-08-02T14:00:00-07:00', '2015-08-02T15:00:00-07:00', '2015-08-02T16:00:00-07:00', '2015-08-02T17:00:00-07:00', '2015-08-02T18:00:00-07:00', '2015-08-02T19:00:00-07:00', '2015-08-02T20:00:00-07:00', '2015-08-02T21:00:00-07:00', '2015-08-02T22:00:00-07:00', '2015-08-02T23:00:00-07:00', '2015-08-03T00:00:00-07:00', '2015-08-03T01:00:00-07:00', '2015-08-03T02:00:00-07:00', '2015-08-03T03:00:00-07:00', '2015-08-03T04:00:00-07:00', '2015-08-03T05:00:00-07:00', '2015-08-03T06:00:00-07:00', '2015-08-03T07:00:00-07:00', '2015-08-03T08:00:00-07:00', '2015-08-03T09:00:00-07:00', '2015-08-03T10:00:00-07:00', '2015-08-03T11:00:00-07:00', '2015-08-03T12:00:00-07:00', '2015-08-03T13:00:00-07:00', '2015-08-03T14:00:00-07:00', '2015-08-03T15:00:00-07:00', '2015-08-03T16:00:00-07:00', '2015-08-03T17:00:00-07:00', '2015-08-03T18:00:00-07:00', '2015-08-03T19:00:00-07:00', '2015-08-03T20:00:00-07:00', '2015-08-03T21:00:00-07:00', '2015-08-03T22:00:00-07:00', '2015-08-03T23:00:00-07:00', '2015-08-04T00:00:00-07:00', '2015-08-04T01:00:00-07:00', '2015-08-04T02:00:00-07:00', '2015-08-04T03:00:00-07:00', '2015-08-04T04:00:00-07:00', '2015-08-04T05:00:00-07:00', '2015-08-04T06:00:00-07:00', '2015-08-04T07:00:00-07:00', '2015-08-04T08:00:00-07:00', '2015-08-04T09:00:00-07:00', '2015-08-04T10:00:00-07:00', '2015-08-04T11:00:00-07:00', '2015-08-04T12:00:00-07:00', '2015-08-04T13:00:00-07:00', '2015-08-04T14:00:00-07:00', '2015-08-04T15:00:00-07:00', '2015-08-04T16:00:00-07:00', '2015-08-04T17:00:00-07:00', '2015-08-04T18:00:00-07:00', '2015-08-04T19:00:00-07:00', '2015-08-04T20:00:00-07:00', '2015-08-04T21:00:00-07:00', '2015-08-04T22:00:00-07:00', '2015-08-04T23:00:00-07:00', '2015-08-05T00:00:00-07:00', '2015-08-05T01:00:00-07:00', '2015-08-05T02:00:00-07:00', '2015-08-05T03:00:00-07:00', '2015-08-05T04:00:00-07:00', '2015-08-05T05:00:00-07:00', '2015-08-05T06:00:00-07:00', '2015-08-05T07:00:00-07:00', '2015-08-05T08:00:00-07:00', '2015-08-05T09:00:00-07:00', '2015-08-05T10:00:00-07:00', '2015-08-05T11:00:00-07:00', '2015-08-05T12:00:00-07:00', '2015-08-05T13:00:00-07:00', '2015-08-05T14:00:00-07:00', '2015-08-05T15:00:00-07:00', '2015-08-05T16:00:00-07:00', '2015-08-05T17:00:00-07:00', '2015-08-05T18:00:00-07:00', '2015-08-05T19:00:00-07:00', '2015-08-05T20:00:00-07:00', '2015-08-05T21:00:00-07:00', '2015-08-05T22:00:00-07:00', '2015-08-05T23:00:00-07:00', '2015-08-06T00:00:00-07:00', '2015-08-06T01:00:00-07:00', '2015-08-06T02:00:00-07:00', '2015-08-06T03:00:00-07:00', '2015-08-06T04:00:00-07:00', '2015-08-06T05:00:00-07:00', '2015-08-06T06:00:00-07:00', '2015-08-06T07:00:00-07:00', '2015-08-06T08:00:00-07:00', '2015-08-06T09:00:00-07:00', '2015-08-06T10:00:00-07:00', '2015-08-06T11:00:00-07:00', '2015-08-06T12:00:00-07:00', '2015-08-06T13:00:00-07:00', '2015-08-06T14:00:00-07:00', '2015-08-06T15:00:00-07:00', '2015-08-06T16:00:00-07:00', '2015-08-06T17:00:00-07:00', '2015-08-06T18:00:00-07:00', '2015-08-06T19:00:00-07:00', '2015-08-06T20:00:00-07:00', '2015-08-06T21:00:00-07:00', '2015-08-06T22:00:00-07:00', '2015-08-06T23:00:00-07:00', '2015-08-07T00:00:00-07:00', '2015-08-07T01:00:00-07:00', '2015-08-07T02:00:00-07:00', '2015-08-07T03:00:00-07:00', '2015-08-07T04:00:00-07:00', '2015-08-07T05:00:00-07:00', '2015-08-07T06:00:00-07:00', '2015-08-07T07:00:00-07:00', '2015-08-07T08:00:00-07:00', '2015-08-07T09:00:00-07:00', '2015-08-07T10:00:00-07:00', '2015-08-07T11:00:00-07:00', '2015-08-07T12:00:00-07:00', '2015-08-07T13:00:00-07:00', '2015-08-07T14:00:00-07:00', '2015-08-07T15:00:00-07:00']
number of start-valid-time entries = 168
end-valid-time = ['2015-07-31T17:00:00-07:00', '2015-07-31T18:00:00-07:00', '2015-07-31T19:00:00-07:00', '2015-07-31T20:00:00-07:00', '2015-07-31T21:00:00-07:00', '2015-07-31T22:00:00-07:00', '2015-07-31T23:00:00-07:00', '2015-08-01T00:00:00-07:00', '2015-08-01T01:00:00-07:00', '2015-08-01T02:00:00-07:00', '2015-08-01T03:00:00-07:00', '2015-08-01T04:00:00-07:00', '2015-08-01T05:00:00-07:00', '2015-08-01T06:00:00-07:00', '2015-08-01T07:00:00-07:00', '2015-08-01T08:00:00-07:00', '2015-08-01T09:00:00-07:00', '2015-08-01T10:00:00-07:00', '2015-08-01T11:00:00-07:00', '2015-08-01T12:00:00-07:00', '2015-08-01T13:00:00-07:00', '2015-08-01T14:00:00-07:00', '2015-08-01T15:00:00-07:00', '2015-08-01T16:00:00-07:00', '2015-08-01T17:00:00-07:00', '2015-08-01T18:00:00-07:00', '2015-08-01T19:00:00-07:00', '2015-08-01T20:00:00-07:00', '2015-08-01T21:00:00-07:00', '2015-08-01T22:00:00-07:00', '2015-08-01T23:00:00-07:00', '2015-08-02T00:00:00-07:00', '2015-08-02T01:00:00-07:00', '2015-08-02T02:00:00-07:00', '2015-08-02T03:00:00-07:00', '2015-08-02T04:00:00-07:00', '2015-08-02T05:00:00-07:00', '2015-08-02T06:00:00-07:00', '2015-08-02T07:00:00-07:00', '2015-08-02T08:00:00-07:00', '2015-08-02T09:00:00-07:00', '2015-08-02T10:00:00-07:00', '2015-08-02T11:00:00-07:00', '2015-08-02T12:00:00-07:00', '2015-08-02T13:00:00-07:00', '2015-08-02T14:00:00-07:00', '2015-08-02T15:00:00-07:00', '2015-08-02T16:00:00-07:00', '2015-08-02T17:00:00-07:00', '2015-08-02T18:00:00-07:00', '2015-08-02T19:00:00-07:00', '2015-08-02T20:00:00-07:00', '2015-08-02T21:00:00-07:00', '2015-08-02T22:00:00-07:00', '2015-08-02T23:00:00-07:00', '2015-08-03T00:00:00-07:00', '2015-08-03T01:00:00-07:00', '2015-08-03T02:00:00-07:00', '2015-08-03T03:00:00-07:00', '2015-08-03T04:00:00-07:00', '2015-08-03T05:00:00-07:00', '2015-08-03T06:00:00-07:00', '2015-08-03T07:00:00-07:00', '2015-08-03T08:00:00-07:00', '2015-08-03T09:00:00-07:00', '2015-08-03T10:00:00-07:00', '2015-08-03T11:00:00-07:00', '2015-08-03T12:00:00-07:00', '2015-08-03T13:00:00-07:00', '2015-08-03T14:00:00-07:00', '2015-08-03T15:00:00-07:00', '2015-08-03T16:00:00-07:00', '2015-08-03T17:00:00-07:00', '2015-08-03T18:00:00-07:00', '2015-08-03T19:00:00-07:00', '2015-08-03T20:00:00-07:00', '2015-08-03T21:00:00-07:00', '2015-08-03T22:00:00-07:00', '2015-08-03T23:00:00-07:00', '2015-08-04T00:00:00-07:00', '2015-08-04T01:00:00-07:00', '2015-08-04T02:00:00-07:00', '2015-08-04T03:00:00-07:00', '2015-08-04T04:00:00-07:00', '2015-08-04T05:00:00-07:00', '2015-08-04T06:00:00-07:00', '2015-08-04T07:00:00-07:00', '2015-08-04T08:00:00-07:00', '2015-08-04T09:00:00-07:00', '2015-08-04T10:00:00-07:00', '2015-08-04T11:00:00-07:00', '2015-08-04T12:00:00-07:00', '2015-08-04T13:00:00-07:00', '2015-08-04T14:00:00-07:00', '2015-08-04T15:00:00-07:00', '2015-08-04T16:00:00-07:00', '2015-08-04T17:00:00-07:00', '2015-08-04T18:00:00-07:00', '2015-08-04T19:00:00-07:00', '2015-08-04T20:00:00-07:00', '2015-08-04T21:00:00-07:00', '2015-08-04T22:00:00-07:00', '2015-08-04T23:00:00-07:00', '2015-08-05T00:00:00-07:00', '2015-08-05T01:00:00-07:00', '2015-08-05T02:00:00-07:00', '2015-08-05T03:00:00-07:00', '2015-08-05T04:00:00-07:00', '2015-08-05T05:00:00-07:00', '2015-08-05T06:00:00-07:00', '2015-08-05T07:00:00-07:00', '2015-08-05T08:00:00-07:00', '2015-08-05T09:00:00-07:00', '2015-08-05T10:00:00-07:00', '2015-08-05T11:00:00-07:00', '2015-08-05T12:00:00-07:00', '2015-08-05T13:00:00-07:00', '2015-08-05T14:00:00-07:00', '2015-08-05T15:00:00-07:00', '2015-08-05T16:00:00-07:00', '2015-08-05T17:00:00-07:00', '2015-08-05T18:00:00-07:00', '2015-08-05T19:00:00-07:00', '2015-08-05T20:00:00-07:00', '2015-08-05T21:00:00-07:00', '2015-08-05T22:00:00-07:00', '2015-08-05T23:00:00-07:00', '2015-08-06T00:00:00-07:00', '2015-08-06T01:00:00-07:00', '2015-08-06T02:00:00-07:00', '2015-08-06T03:00:00-07:00', '2015-08-06T04:00:00-07:00', '2015-08-06T05:00:00-07:00', '2015-08-06T06:00:00-07:00', '2015-08-06T07:00:00-07:00', '2015-08-06T08:00:00-07:00', '2015-08-06T09:00:00-07:00', '2015-08-06T10:00:00-07:00', '2015-08-06T11:00:00-07:00', '2015-08-06T12:00:00-07:00', '2015-08-06T13:00:00-07:00', '2015-08-06T14:00:00-07:00', '2015-08-06T15:00:00-07:00', '2015-08-06T16:00:00-07:00', '2015-08-06T17:00:00-07:00', '2015-08-06T18:00:00-07:00', '2015-08-06T19:00:00-07:00', '2015-08-06T20:00:00-07:00', '2015-08-06T21:00:00-07:00', '2015-08-06T22:00:00-07:00', '2015-08-06T23:00:00-07:00', '2015-08-07T00:00:00-07:00', '2015-08-07T01:00:00-07:00', '2015-08-07T02:00:00-07:00', '2015-08-07T03:00:00-07:00', '2015-08-07T04:00:00-07:00', '2015-08-07T05:00:00-07:00', '2015-08-07T06:00:00-07:00', '2015-08-07T07:00:00-07:00', '2015-08-07T08:00:00-07:00', '2015-08-07T09:00:00-07:00', '2015-08-07T10:00:00-07:00', '2015-08-07T11:00:00-07:00', '2015-08-07T12:00:00-07:00', '2015-08-07T13:00:00-07:00', '2015-08-07T14:00:00-07:00', '2015-08-07T15:00:00-07:00', '2015-08-07T16:00:00-07:00']
number of end-valid-time entries = 168
probability-of-precipitation = ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '1', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '5', '5', '5', '5', '5', '5', '5', '5', '5', '5', '5', '5', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '34', '34', '34', '34', '34', '34', '34', '34', '34', '34', '34']
number of probability-of-precipitation entries = 168
hourly-qpf = ['0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0.0050', '0.0050', '0.0050', '0.0050', '0.0050', '0.0050', '0.0033', '0.0033', '0.0033', '0.0033', '0.0033', '0.0033', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0.0017', '0.0017', '0.0017', '0.0017', '0.0017', '0.0017', '0.0083', '0.0083', '0.0083', '0.0083', '0.0083']
number of hourly-qpf entries = 168