如何使用Python将JSON（Twitter数据）转换为CSV

Question

我试图查询twitter搜索引擎（search.twitter.com），将结果转换为json，然后将结果准备为csv用于研究项目。我是一名Python新手，但我已经设法自己编写2/3的程序。但是，我很难将我的json文件转换为csv格式。我尝试了各种建议的技术，但没有成功。我在这里做错了什么？

这是我到目前为止有：

import twitter, os, json, csv 

qname = raw_input("Please enter the term(s) you wish to search for: ") 
date = int(raw_input("Please enter today's date (no dashes or spaces): ")) 
nname = raw_input("Please enter a nickname for this query (no spaces): ") 
q1 = raw_input("Would you like to set a custom directory? Enter Yes or No: ") 

if q1 == 'No' or 'no' or 'n' or 'N': 
    dirname = 'C:\Users\isaac\Desktop\TPOP' 

elif q1 == 'Yes' or 'yes' or 'y' or 'Y': 
    dirname = raw_input("Please enter the directory path:") 

ready = raw_input("Are you ready to begin? Enter Yes or No: ") 
while ready == 'Yes' or 'yes' or 'y' or 'Y': 
    twitter_search = twitter.Twitter(domain = "search.Twitter.com") 
search_results = [] 
for page in range (1,10): 
    search_results.append(twitter_search.search(q=qname, rpp=1, page=page)) 
    ready1 = raw_input("Done! Are you ready to continue? Enter Yes or No: ") 
    if ready1 == 'Yes' or 'yes' or 'y' or 'Y': 
     break 

ready3 = raw_input("Do you want to save output as a file? Enter Yes or No: ") 
while ready3 == 'Yes' or 'yes' or 'y' or 'Y': 
    os.chdir(dirname) 
    filename = 'results.%s.%06d.json' %(nname,date) 
    t = open (filename, 'wb+') 
    s = json.dumps(search_results, sort_keys=True, indent=2) 
    print >> t,s 
    t.close() 
    ready4 = raw_input("Done! Are you ready to continue? Enter Yes or No: ") 
    if ready4 == 'Yes' or 'yes' or 'y' or 'Y': 
     break 

ready5 = raw_input("Do you want to save output as a csv/excel file? Enter Yes or No: ") 
while ready5 == 'Yes' or 'yes' or 'y' or 'Y': 
    filename2 = 'results.%s.%06d.csv' %(nname,date) 
    z = json.dumps(search_results, sort_keys=True, indent=2) 
    x=json.loads(z) 

    json_string = z 
    json_array = x 

    columns = set() 
    for entity in json_array: 
     if entity == "created_at" or "from_user" or "from_user_id" or "from_user_name" or "geo" or "id" or "id_str" or "iso_language_code" or "text": 
      columns.update(set(entity)) 

    writer = csv.writer(open(filename2, 'wb+')) 
    writer.writerow(list(columns)) 
    for entity in json_array: 
     row = [] 
     for c in columns: 
      if c in entity: row.append(str(entity[c])) 
      else: row.append('') 

Answer 1

一些周围搜索后，我发现这里的答案：http://michelleminkoff.com/2011/02/01/making-the-structured-usable-transform-json-into-a-csv/

代码应该是这个样子： （如果您正在搜索twitter python api）

filename2 = '/path/to/my/file.csv' 
writer = csv.writer(open(filename2, 'w')) 
z = json.dumps(search_results, sort_keys=True, indent=2) 
parsed_json=json.loads(z) 
#X needs to be the number of page you pulled less one. So 5 pages would be 4. 
while n<X: 
for tweet in parsed_json[n]['results']: 
    row = [] 
    row.append(str(tweet['from_user'].encode('utf-8'))) 
    row.append(str(tweet['created_at'].encode('utf-8'))) 
    row.append(str(tweet['text'].encode('utf-8'))) 
    writer.writerow(row) 
n = n +1 

感谢大家的帮助！

Answer 2

你必须要在几个不同的问题。

首先，中

x == 'a' or 'b' or 'c' 

语法可能不会做你认为它。您应该使用

x in ('a', 'b', 'c') 

改为。

其次，您的ready5变量不会改变，并且不会在循环中正常工作。尝试

while True: 
    ready5 = raw_input("Do you want to save output as a csv/excel file? Enter Yes or No: ") 
    if ready5 not in (...): 
     break 

最后，您的转储/加载代码有问题。你从Twitter获得的应该是一个JSON字符串。有些代码是你在问题中遗漏的，所以我无法确定，但我认为你根本不想使用json.dumps。您从阅读JSON（使用json.loads）和写入 CSV（使用csv.writer.writerow）。

Answer 3

一种不同的方法将有tablib为你做实际的转换：

import tablib 
data = tablib.Dataset() 
data.json = search_results 
filename = 'results.%s.%06d.csv' %(nname,date) 
csv_file = open(filename, 'wb') 
csv_file.write(data.csv)