Python：将降价表转换为 json

您可以将其视为多行字符串并逐行解析，同时在 import time import pandas as pd import multiprocessing as mp def multiproc(): processes = [] setTings = {1: {'sleep_time': 5,'id': 1},2: {'sleep_time': 1,'id': 2},3: {'sleep_time': 2,'id': 3},4: {'sleep_time': 3,'id': 4}} for key in setTings: p = mp.process(target=calc_something,args=(setTings[key],)) processes.append(p) p.start() for p in processes: p.join() return processes def calc_something(setTings: Dict) -> pd.DataFrame: time_to_sleep = setTings['sleep_time'] time.sleep(time_to_sleep) print(str(setTings['id'])) df = some_function_creates_data_frame() return df 和 \n 处拆分

执行此操作的简单代码：

|

import json

my_str='''| Some title | Some Description             | Some number |
|------------|------------------------------|-------------|
| Dark Souls | This is a fun game           | 5           |
| Bloodborne | This one is even better      | 2           |
| Sekiro     | This one is also pretty good | 110101      |'''

def mrkd2json(inp):
    lines = inp.split('\n')
    ret=[]
    keys=[]
    for i,l in enumerate(lines):
        if i==0:
            keys=[_i.Strip() for _i in l.split('|')]
        elif i==1: conTinue
        else:
            ret.append({keys[_i]:v.Strip() for _i,v in enumerate(l.split('|')) if  _i>0 and _i<len(keys)-1})
    return json.dumps(ret,indent = 4) 
print(mrkd2json(my_str))

PS：不知道有什么图书馆可以做到这一点，如果我发现任何东西会更新！

我的方法与@Kuldeep Singh Sidhu 的方法非常相似：

md_table = """
| Some title | Some Description             | Some number |
|------------|------------------------------|-------------|
| Dark Souls | This is a fun game           | 5           |
| Bloodborne | This one is even better      | 2           |
| Sekiro     | This one is also pretty good | 110101      |
"""

result = []

for n,line in enumerate(md_table[1:-1].split('\n')):
    data = {}
    if n == 0:
        header = [t.Strip() for t in line.split('|')[1:-1]]
    if n > 1:
        values = [t.Strip() for t in line.split('|')[1:-1]]
        for col,value in zip(header,values):
            data[col] = value
        result.append(data)

结果是：

[{'Some title': 'Dark Souls','Some Description': 'This is a fun game','Some number': '5'},{'Some title': 'Bloodborne','Some Description': 'This one is even better','Some number': '2'},{'Some title': 'Sekiro','Some Description': 'This one is also pretty good','Some number': '110101'}]