XML解析为.txt文件Python答案

【问题标题】：XML Parsing to .txt file PythonXML解析为.txt文件Python
【发布时间】：2015-07-30 15:08:13
【问题描述】：

我需要解析这个 XML Document 并将日期和时间移动到 %Y-%m-%d %H:%M:%S 格式以及变量 hourly-qpf 和 probability-of-precipitation 到制表符分隔的 .txt 文件中的列中。

我所做的只是使用以下代码读取 XML 文件：

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)

在这之后我不知所措。我之前只解析过一个 XML 文档，它看起来和这个完全不同。

编辑

很抱歉之前没有给你们任何东西，但我不确定要使用哪个模块，因为我只有 minidom 的经验，而且这似乎不是正确的选择。我一直在搞乱元素树，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，有一个问题，因为变量是连字符的，我不知道如何将它们更改为下划线或删除它们。另外，正因为如此，我不知道我的代码好不好！

【问题讨论】：

我自己从来没有这样做过，所以我不想给出具体的答案，但是你检查过这个python module了吗？
XML 是一种标记语言，您链接的文档似乎结构良好。我建议您查看lxml，取得一些初步进展并向我们展示。就目前而言，您似乎要求我们为您完成所有工作。

标签： python xml parsing xml-parsing

【解决方案1】：

您可以使用 python xml 库：

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***

【讨论】：

谢谢！这是有用的文档。但是我遇到了变量包含连字符的事实，这给了我 SyntaxError: can't assign to operator。我需要将连字符改为下划线吗？
@sfischer3394 当然可以。连字符不是 Python 中的连字符，而是减号。
您上面的代码已损坏。不要使用 data = data.append(...) 只是 data.append(...)。以上数据设置为无。

【解决方案2】：

我建议使用 xmltodict 从 XML 中解析和提取数据，因为它直接且易于使用，因为它将 XML 转换为 Python dicts，并具有与 XML 源相同的嵌套。对于那些熟悉 Python 语法的人来说，使用它是很自然的，而且 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 字典来实现 Python、C++ 和 Java 数据互操作性，并提供将 XML 转换为字典的工具。 xmltodict 的优点是它体积小、速度快、是一个独立的模块，仅用于将 XML 转换为 dict。

作为 xmltodict 使用的示例，以下脚本下载 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)

这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 start-valid-time 和 end-valid-time 它有助于了解它们的数据结构以及它们的位置。由于两者都是包含在相同标签中的一系列值，因此直观地每个系列都应该在一个单独的列表中形成一个键的值，其名称类似于概率降水和每小时 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，并且可以通过漂亮地打印结果 dict（使用 import pprint 然后运行 pprint.pprint(结果））。对于this XML document，漂亮打印其等效字典会生成超过 2000 行，但是 start-valid-time 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，它将创建日期提取并打印为标量值、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、a 中的所有降水概率值列出列表中的所有 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))

这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

【讨论】：

哇，这太棒了！谢谢。我绝对可以从这里找出其余的。
再问一个问题，我怎样才能让它包含所有时间增量，而不仅仅是创建日期？我需要每个条目的日期。
哦等等我明白了。您只是选择了一个不同的节点。但是当我尝试做cd = result['dwml']['data']['time-layout']['start-valid-time']['#text'] 时，我得到了错误“TypeError: list indices must be integers, not str
那个 TypeError 告诉你'start-valid-time'键的值是一个列表。作为回答，我添加了一些关于如何确定键的数据类型的解释，并提供了一个脚本来演示将创建日期提取为标量值、列表中的所有开始有效时间值、所有结束有效时间值列表中的所有降水概率值和列表中的所有每小时 qpf 值。