python - 如何使用 Python 将特定的 CSV 格式转换为 JSON

Question

我从 Google Trends 下载了一个 CSV 文件，它以这种格式显示数据：

Top cities for golden globes
City,golden globes
New York (United States),100
Los Angeles (United States),91
Toronto (Canada),69

Top regions for golden globes
Region,golden globes
United States,100
Canada,91
Ireland,72
Australia,72

这些组中有 3-4 个由空格分隔。每组的第一行包含我想用作键的文本，然后是我需要与该键关联的字典列表。有人对我可以用来实现这一目标的一些 Python 工具有什么建议吗？我对 Python 的 CSV 库不太满意。

我想要的上述 CSV 输出如下所示：

{
"Top cities for golden globes" :
   {
      "New York (United States)" : 100,
      "Los Angeles (United States)" : 91,
      "Toronto (Canada)" : 69
   },
"Top regions for golden globes" :
   {
      "United States" : 100,
      "Canada" : 91,
      "Ireland" : 72,
      "Australia" : 72
   }
}

Answer 1

您的输入格式是如此令人期待，以至于我会在没有 CSV 库的情况下手动完成。

import json
from collections import defaultdict

fh = open("yourfile.csv")
result = defaultdict(dict) #dictionary holding the data
current_key = "" #current category
ignore_next = False #flag to skip header

for line in fh:
    line = line.strip() #throw away newline
    if line == "": #line is empty
        current_key = ""
        continue
    if current_key == "": #current_key is empty
        current_key = line #so the current line is the header for the following data
        ignore_next = True
        continue
    if ignore_next: #we're in a line that can be ignored
        ignore_next = False
        continue
    (a,b) = line.split(",")
    result[current_key][a] = b
fh.close()

#pretty-print data
print json.dumps(result, sort_keys=True, indent=4)

Answer 2

我会尝试类似...：

row = []
dd = {}
with open('the.csv') as f:
    r = csv.reader(f)
    while True:
        if row:  # normal case, non-empty row
            d[row[0]] = row[1]
            row = next(r, None)
            if row is None: break
        else:  # row is empty at start and after blank line
            category = next(f, None)
            if category is None: break
            category = category.strip()
            next(r)  # skip headers row
            d = dd[category] = {}
            row = next(r, None)
            if row is None: break

现在，dd应该是你想要的 dict-of-dicts，你可以json.dump随心所欲。