Python 将json转换为csv文件时出错

现有的其他解决方案对我不起作用。我想将csv文件与json文件进行比较，以查看json文件as是否包含csv文件中的任何字符串

我试过（改编自其他stackoverflow帖子）

但它不起作用。我是否最好换一种方式，将csv转换成json

编辑

Json文件：

{"tag":["security architecture","systems security engineering","architecture","program protection planning (ppp)","system security engineering","security engineering"],"newtag":["security","architecture engineering & policy","certified ethical hacker","security policy and risk management","sse","enterprise transition plan","plan","tax","capacity analysis"]}

csv:

---

我想看看json文件与哪个id最匹配（因此我想知道每个id有多少个标记匹配），但我不确定如何处理json与csv的比较，我可能误解了您的问题，但希望这至少能让您开始

我相信一定有更好的方法，但这里有一个方法

首先，加载数据，将csv数据放入嵌套列表，将json数据放入dict。然后获取csv文件中的所有唯一ID

检查每个唯一ID的csv文件，并计算json标记中存在的标记数

# load csv data
with open("csvdata.csv") as csvFile:
    reader = csv.reader(csvFile)
    loadedCSV = [row for row in reader]

# load json data and get list of tags
jsonTags = json.load("jsonFile.json")["tags"]

# create a unique list of ids from csv file
uniqueIDs = list(set([row[0] for row in loadedCSV]]))

# best match so far
selectedID = None

# keep track of best count
maxCount = 0

# go through ids
for id in uniqueIDs:

    # count for specific ID
    idCount = 0

    # go through tags in csv and add one to count if in json tags
    for row in loadedCSV:
        if row[0] == id:
            if row[1] in jsonTags:
                idCount += 1
    # compare count to current max
    if idCount > maxCount:
        selectedID = id

如果计数大于当前最大值，则将该ID存储为最佳ID

循环完成后，您应该拥有json标记中标记最多的ID

# load csv data
with open("csvdata.csv") as csvFile:
    reader = csv.reader(csvFile)
    loadedCSV = [row for row in reader]

# load json data and get list of tags
jsonTags = json.load("jsonFile.json")["tags"]

# create a unique list of ids from csv file
uniqueIDs = list(set([row[0] for row in loadedCSV]]))

# best match so far
selectedID = None

# keep track of best count
maxCount = 0

# go through ids
for id in uniqueIDs:

    # count for specific ID
    idCount = 0

    # go through tags in csv and add one to count if in json tags
    for row in loadedCSV:
        if row[0] == id:
            if row[1] in jsonTags:
                idCount += 1
    # compare count to current max
    if idCount > maxCount:
        selectedID = id

---

定义“它不工作”我们是否有可能看到json和csv文件的格式？没有进行比较，您只是在写入文件。到底应该比较什么？添加了json和csv。我已经编写了python代码来比较它是否是两个csv。但我有多个json文件，我希望能够运行。因此，手动创建csv文件效率低下。您的代码片段与您的问题究竟有何关联？谢谢RichSmith，我将对此进行研究。我有一些类似的代码，但在处理json时遇到了麻烦。当我打印selectedID或maxCount时，虽然没有显示任何内容。它似乎在idCount=+1之后中断。这是因为它与csv中的id而不是标记进行比较吗？@karmesto在循环之前打印UniqueID、loadedCSV和jsonTags可能是值得的，只是为了确保它们的格式正确并且加载正确，我会在上午检查其余的代码：）

# load csv data
with open("csvdata.csv") as csvFile:
    reader = csv.reader(csvFile)
    loadedCSV = [row for row in reader]

# load json data and get list of tags
jsonTags = json.load("jsonFile.json")["tags"]

# create a unique list of ids from csv file
uniqueIDs = list(set([row[0] for row in loadedCSV]]))

# best match so far
selectedID = None

# keep track of best count
maxCount = 0

# go through ids
for id in uniqueIDs:

    # count for specific ID
    idCount = 0

    # go through tags in csv and add one to count if in json tags
    for row in loadedCSV:
        if row[0] == id:
            if row[1] in jsonTags:
                idCount += 1
    # compare count to current max
    if idCount > maxCount:
        selectedID = id