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如何使用 python 從多個 XML 節點和層次結構中提取信息？

[英]How to extract information from multiple XML nodes and hierarchies using python?

 原文  2020-05-29 12:19:46  6   1    python/ xml/ elementtree/ jmespath

問題描述

我有以下結構：

<population>
    <person id="101">
        <attributes>
            <attribute name="age" class="java.lang.Integer" >53</attribute>
        </attributes>
        <plan score="-0.38" selected="yes">
            <activity type="outside" link="81312" facility="outside_208" x="649324.9906891582" y="6866581.699995641" end_time="08:22:00" >
            </activity>
            <leg mode="car" dep_time="08:22:00" trav_time="00:10:13">
                <route type="links" start_link="81312" end_link="138852" trav_time="00:10:13" distance="6046.54932060571" vehicleRefId="7262234">81312</route>
            </leg>
            <activity type="work" link="138852" facility="38407" x="651680.6" y="6863892.5" start_time="08:45:22" end_time="17:15:22" >
                <attributes>
                    <attribute name="innerParis" class="java.lang.Boolean" >true</attribute>
                </attributes>
            </activity>
            <leg mode="car" dep_time="17:15:22" trav_time="00:07:05">
                <route type="links" start_link="138852" end_link="189898" trav_time="00:07:05" distance="4604.544053407517" vehicleRefId="7262234">138852</route>
            </leg>
            <activity type="outside" link="189898" facility="outside_249" x="648729.9598002436" y="6866057.250182923" end_time="17:20:35" >
            </activity>
        </plan>
        <plan score="-0.38" selected="no">
            <activity type="inside" link="81312" facility="outside_208" x="649324.9906891582" y="6866581.699995641" end_time="08:22:00" >
            </activity>
            <leg mode="bike" dep_time="08:22:00" trav_time="00:10:13">
                <route type="links" start_link="81312" end_link="138852" trav_time="00:10:13" distance="6046.54932060571" vehicleRefId="7262234">81312</route>
            </leg>
            <activity type="shopping" link="138852" facility="38407" x="651680.6" y="6863892.5" start_time="08:45:22" end_time="17:15:22" >
                <attributes>
                    <attribute name="innerParis" class="java.lang.Boolean" >true</attribute>
                </attributes>
            </activity>
            <leg mode="bike" dep_time="08:22:00" trav_time="00:10:13">
                <route type="links" start_link="81312" end_link="138852" trav_time="00:10:13" distance="6046.54932060571" vehicleRefId="7262234">81312</route>
            </leg>
            <activity type="work" link="138852" facility="38407" x="651680.6" y="6863892.5" start_time="08:45:22" end_time="17:15:22" >
                <attributes>
                    <attribute name="innerParis" class="java.lang.Boolean" >true</attribute>
                </attributes>
            </activity>
            <leg mode="pt" dep_time="17:15:22" trav_time="00:07:05">
                <route type="links" start_link="138852" end_link="189898" trav_time="00:07:05" distance="4604.544053407517" vehicleRefId="7262234">138852</route>
            </leg>
            <activity type="outside" link="189898" facility="outside_249" x="648729.9598002436" y="6866057.250182923" end_time="17:20:35" >
            </activity>
        </plan>
    </person>
    <person id="102">
        <attributes>
            <attribute name="age" class="java.lang.Integer" >53</attribute>
        </attributes>
        <plan score="-0.38" selected="yes">
            <activity type="inside" link="81312" facility="outside_208" x="649324.9906891582" y="6866581.699995641" end_time="08:22:00" >
            </activity>
            <leg mode="bike" dep_time="08:22:00" trav_time="00:10:13">
                <route type="links" start_link="81312" end_link="138852" trav_time="00:10:13" distance="6046.54932060571" vehicleRefId="7262234">81312</route>
            </leg>
            <activity type="work" link="138852" facility="38407" x="651680.6" y="6863892.5" start_time="08:45:22" end_time="17:15:22" >
                <attributes>
                    <attribute name="innerParis" class="java.lang.Boolean" >true</attribute>
                </attributes>
            </activity>
            <leg mode="bike" dep_time="08:22:00" trav_time="00:10:13">
                <route type="links" start_link="81312" end_link="138852" trav_time="00:10:13" distance="6046.54932060571" vehicleRefId="7262234">81312</route>
            </leg>
            <activity type="work" link="138852" facility="38407" x="651680.6" y="6863892.5" start_time="08:45:22" end_time="17:15:22" >
                <attributes>
                    <attribute name="innerParis" class="java.lang.Boolean" >true</attribute>
                </attributes>
            </activity>
            <leg mode="pt" dep_time="17:15:22" trav_time="00:07:05">
                <route type="links" start_link="138852" end_link="189898" trav_time="00:07:05" distance="4604.544053407517" vehicleRefId="7262234">138852</route>
            </leg>
            <activity type="outside" link="189898" facility="outside_249" x="648729.9598002436" y="6866057.250182923" end_time="17:20:35" >
            </activity>
        </plan>
    </person>
    <person id="103">
        <attributes>
            <attribute name="age" class="java.lang.Integer" >53</attribute>
        </attributes>
        <plan score="-0.38" selected="yes">
            <activity type="inside" link="81312" facility="outside_208" x="649324.9906891582" y="6866581.699995641" end_time="08:22:00" >
            </activity>
            <leg mode="bike" dep_time="08:22:00" trav_time="00:10:13">
                <route type="links" start_link="81312" end_link="138852" trav_time="00:10:13" distance="6046.54932060571" vehicleRefId="7262234">81312</route>
            </leg>
            <activity type="shopping" link="138852" facility="38407" x="651680.6" y="6863892.5" start_time="08:45:22" end_time="17:15:22" >
                <attributes>
                    <attribute name="innerParis" class="java.lang.Boolean" >true</attribute>
                </attributes>
            </activity>
            <leg mode="bike" dep_time="08:22:00" trav_time="00:10:13">
                <route type="links" start_link="81312" end_link="138852" trav_time="00:10:13" distance="6046.54932060571" vehicleRefId="7262234">81312</route>
            </leg>
            <activity type="work" link="138852" facility="38407" x="651680.6" y="6863892.5" start_time="08:45:22" end_time="17:15:22" >
                <attributes>
                    <attribute name="innerParis" class="java.lang.Boolean" >true</attribute>
                </attributes>
            </activity>
            <leg mode="pt" dep_time="17:15:22" trav_time="00:07:05">
                <route type="links" start_link="138852" end_link="189898" trav_time="00:07:05" distance="4604.544053407517" vehicleRefId="7262234">138852</route>
            </leg>
            <activity type="outside" link="189898" facility="outside_249" x="648729.9598002436" y="6866057.250182923" end_time="17:20:35" >
            </activity>
        </plan>
    </person>
</population>

我想要的是提取person id的值，如果plan selected ="yes" ，我還想提取所有activity type和leg mode 。 例如，它應該以現有順序存儲為字典（或數據框，這並不重要）。

所以理想的結果應該是這樣的：

id    leg_activity
101   outside; car; work; car; outside
102   inside; bike; work; bike; work ...
...

到目前為止，我只使用過 JMSPath，而且我知道它不是最合適的，所以我很高興看到elementtree左右的其他方法：) 另外，我無法找到一種方法來提取activity和leg信息一步。 到目前為止，這是我的方法：

import gzip
import xmltodict
import pandas as pd
import jmespath

box = xmltodict.parse(gzip.open(gzipfile, 'r'))

expression = jmespath.compile('population.person[].plan[?"@selected"==`yes`].activity[*].["@type"]')

coords = expression.search(box)
coords = pd.DataFrame.from_dict(coords)

1 個解決方案

解決方案1
 3 已采納  2020-05-29 12:59:01

假設您的 xml 在test.xml內，以下應該可以工作：

from bs4 import BeautifulSoup
import pandas as pd
soup = BeautifulSoup(open('test.xml'), features='lxml')
plan_log = []
for person in soup.find_all('person'):
    log = {'id': person.get('id')}
    activities = []
    for plan in person.find_all('plan', attrs={'selected': 'yes'}):
        for detail in plan.children:
            if detail.name == 'activity':
                activities.append(detail.get('type'))
            elif detail.name == 'leg':
                activities.append(detail.get('mode'))
            # activities.append(detail.get('type') or detail.get('mode'))
    log['leg_activity'] = ', '.join(activities)
    plan_log.append(log)
df = pd.DataFrame(plan_log)
print(df)

Output：

    id                                     leg_activity
0  101                 outside, car, work, car, outside
1  102      inside, bike, work, bike, work, pt, outside
2  103  inside, bike, shopping, bike, work, pt, outside

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