如何使用Python将文本转换为Json格式

我使用python Selenium从下面的站点提取了数据

请查看表“设计和/或目标的指标比较”。

我已将表格提取为文本格式。

下面是文本的示例输出

Metric Design Project Design Target Median Property*
ENERGY STAR score (1-100) Not Available 75 50
Source EUI (kBtu/ft²) 3.1 Not Available 127.9
Site EUI (kBtu/ft²) 1.0 Not Available 40.7
Source Energy Use (kBtu) 314.0 Not Available 12,793.0
Site Energy Use (kBtu) 100.0 Not Available 4,074.2
Energy Cost ($) 2,000.00 Not Available 81,484.00
Total GHG Emissions (Metric Tons CO2e) 0.0 Not Available 0.5

我试图将文本转换为json

import csv
import json

with open('file.txt', 'rb') as csvfile:
    filereader = csv.reader(csvfile, delimiter=' ')
    i = 0
    header = []
    out_data = []
    for row in filereader:
        row = [elem for elem in row if elem]
        if i == 0:
            i += 1
            header = row
        else:
            row[0:4] = [row[0]+" "+row[1]+" "+row[2]+" "+row[3]]
            _dict = {}
            for elem, header_elem in zip(row, header):
                _dict[header_elem] = elem
            out_data.append(_dict)

print json.dumps(out_data)

我得到的JSON格式输出如下

[{"Project": "75", "Metric": "ENERGY STAR score (1-100)", "Design": "50"}]

JSON格式输出的格式应为

[{"Design Project": "Not Available", "Design Target": "75", "Metric": "ENERGY STAR score (1-100)", "Median Property*": "50"}]

您忘记了为其他json键（如Design）创建数据和头 项目、设计目标等）

这是正确的版本：

import csv
import json

with open('test.txt', 'r') as csvfile: # Opens file
    filereader = csv.reader(csvfile, delimiter=' ')
    i = 0
    header = []
    out_data = []
    for row in filereader:
        row = [elem for elem in row if elem]
        if i == 0:
            i += 2
            row[1:3] = [row[1]+" "+row[2]]  # Design Project key
            row[2:4] = [row[2]+" "+row[3]]  # Design Target key
            row[3:5] = [row[3]+" "+row[4]]  # Median Property*
            header = row
        else:
            row[0:4] = [row[0]+" "+row[1]+" "+row[2]+" "+row[3]]  # Metric value
            if len(row) == 5:  # check conditions for better parse
                row[1:3] = [row[1]+" "+row[2]]  # Design Project value
            _dict = {}
            for elem, header_elem in zip(row, header):
                _dict[header_elem] = elem
            out_data.append(_dict)

    print json.dumps(out_data)

只有当数据的结构是恒定的，并且关键字/值由相同数量的单词组成时，它才起作用

您可以添加其他条件（如第21行中的我）：

---

我猜您在蓝图中缺少了一些可以比较和填充的值in@bhansa我直接从站点中存在的表中提取数据。如果使用CSV而不是空格分隔的值，则会更容易。请展示生成该文件的代码，您能否以genric的方式帮助将其作为JSON用于上述文本的整个输出？

if len(row) == 5:  # check conditions for better parse
    row[1:3] = [row[1]+" "+row[2]]  # Design Project value