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Python 将XML文件转换为CSV_Python_Xml_Csv_Data Conversion_Format Conversion - Fatal编程技术网

Python 将XML文件转换为CSV

Python 将XML文件转换为CSV,python,xml,csv,data-conversion,format-conversion,Python,Xml,Csv,Data Conversion,Format Conversion,我正在与下面的案例作斗争。我有一个以下格式的XML文件: <event> <attribute type="NAME">John</attribute> <attribute type="TASK">Buy</attribute> <attribute type="DATE">12052017</attribute> </event> <event> <attribu

我正在与下面的案例作斗争。我有一个以下格式的XML文件:

<event>
  <attribute type="NAME">John</attribute>
  <attribute type="TASK">Buy</attribute>
  <attribute type="DATE">12052017</attribute>
</event>
<event>
  <attribute type="NAME">John</attribute>
  <attribute type="RESOURCE">Dollar</attribute>
  <attribute type="DATE">13052017</attribute>
</event>
我正在使用我为Notepad++编写的一个小Python脚本,它搜索并删除字符串中不应该出现的所有内容。例如:

editor.rereplace('\r\n  <attribute type="NAME">', '');
不区分属性任务和资源


我检查了不同的主题,但没有一个真正涵盖了我的问题。有人能帮我一个便宜的把戏吗,或者给我指一个工具。

数据必须是有效的xml文档

data = '''<?xml version="1.0"?>
<data>
<event>
  <attribute type="NAME">John</attribute>
  <attribute type="TASK">Buy</attribute>
  <attribute type="DATE">12052017</attribute>
</event>
<event>
  <attribute type="NAME">John</attribute>
  <attribute type="RESOURCE">Dollar</attribute>
  <attribute type="DATE">13052017</attribute>
</event>
</data>
'''
结果将是:

[{'DATE': '12052017', 'TASK': 'Buy', 'NAME': 'John'}, {'DATE': '13052017', 'RESOURCE': 'Dollar', 'NAME': 'John'}]
并写入csv文件

import csv

keys = ['NAME', 'TASK', 'RESOURCE', 'DATE']
with open('result.csv', 'wb') as output_file:
    dict_writer = csv.DictWriter(output_file, keys)
    dict_writer.writeheader()
    dict_writer.writerows(mycsv)

数据必须是有效的xml文档

data = '''<?xml version="1.0"?>
<data>
<event>
  <attribute type="NAME">John</attribute>
  <attribute type="TASK">Buy</attribute>
  <attribute type="DATE">12052017</attribute>
</event>
<event>
  <attribute type="NAME">John</attribute>
  <attribute type="RESOURCE">Dollar</attribute>
  <attribute type="DATE">13052017</attribute>
</event>
</data>
'''
结果将是:

[{'DATE': '12052017', 'TASK': 'Buy', 'NAME': 'John'}, {'DATE': '13052017', 'RESOURCE': 'Dollar', 'NAME': 'John'}]
并写入csv文件

import csv

keys = ['NAME', 'TASK', 'RESOURCE', 'DATE']
with open('result.csv', 'wb') as output_file:
    dict_writer = csv.DictWriter(output_file, keys)
    dict_writer.writeheader()
    dict_writer.writerows(mycsv)

对于我的项目,我使用以下python脚本:

import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET


def xml_to_csv(path):
    xml_list = []
    for xml_file in glob.glob(path + '/*.xml'):
        tree = ET.parse(xml_file)
        root = tree.getroot()
        for member in root.findall('object'):
            value = (root.find('filename').text,
                     int(root.find('size')[0].text),
                     int(root.find('size')[1].text),
                     member[0].text,
                     int(member[4][0].text),
                     int(member[4][1].text),
                     int(member[4][2].text),
                     int(member[4][3].text)
                     )
            xml_list.append(value)
    column_name = ['filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax']
    xml_df = pd.DataFrame(xml_list, columns=column_name)
    return xml_df


def main():
    for directory in ['train','test']:
        image_path = os.path.join(os.getcwd(), 'images/{}'.format(directory))
        xml_df = xml_to_csv(image_path)
        xml_df.to_csv('data/{}_labels.csv'.format(directory), index=None)
        print('Successfully converted xml to csv.')


main()

对于我的项目,我使用以下python脚本:

import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET


def xml_to_csv(path):
    xml_list = []
    for xml_file in glob.glob(path + '/*.xml'):
        tree = ET.parse(xml_file)
        root = tree.getroot()
        for member in root.findall('object'):
            value = (root.find('filename').text,
                     int(root.find('size')[0].text),
                     int(root.find('size')[1].text),
                     member[0].text,
                     int(member[4][0].text),
                     int(member[4][1].text),
                     int(member[4][2].text),
                     int(member[4][3].text)
                     )
            xml_list.append(value)
    column_name = ['filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax']
    xml_df = pd.DataFrame(xml_list, columns=column_name)
    return xml_df


def main():
    for directory in ['train','test']:
        image_path = os.path.join(os.getcwd(), 'images/{}'.format(directory))
        xml_df = xml_to_csv(image_path)
        xml_df.to_csv('data/{}_labels.csv'.format(directory), index=None)
        print('Successfully converted xml to csv.')


main()

CSV在哪里?CSV在哪里?如果有嵌套节点怎么办?如果有嵌套节点怎么办?