这是问题的要点。 我正在尝试从REST API调用中获取数据并将它们存储在数据库中。 然后我运行几个查询来找出TOP 3用户。我无法将从MySQL获取的所有列表值打包到JSON文件中。
我无法解决以下问题。
文件" /Users/id1/Downloads/user1.py",第58行,在 get_last_three_installed_user results.append(dict(zip(columns,row)))
TypeError:' unicode'对象不可调用
这是SQL查询的输出
+----------------+--------+-------------+------------+-----------------+
| name | gender | nationality | registered | registered_date |
+----------------+--------+-------------+------------+-----------------+
| mélissa robin | female | FR | 1437761753 | 2015-07-24 |
| agathe fabre | female | FR | 1437002837 | 2015-07-15 |
| soline morin | female | FR | 1436138376 | 2015-07-05 |
+----------------+--------+-------------+------------+-----------------+
如果我尝试str(名称),我会收到以下错误:
name = str(json_dict [" results"] [result] [" user"] [" name"] [" first" ])+" " + str(json_dict ["结果"] [结果] ["用户"] ["名称"] ["最后" ])
UnicodeEncodeError:' ascii'编解码器不能对字符u' \ xe4'进行编码。在 位置1:序数不在范围内(128)
这是我的代码:
def get_last_three_installed_user(file_type):
count_sql = "select name,gender,nationality,registered,DATE_FORMAT(from_unixtime(registered), '%Y-%m-%d') registered_date from install_user order by from_unixtime(registered) desc limit 3 "
curs.execute(count_sql)
columns = [column[0] for column in curs.description]
results = []
if file_type == 'csv':
fp = open('user_list.csv', 'w')
csvFile = csv.writer(fp)
rows = curs.fetchall()
csvFile.writerows(rows)
else:
with open('file_count.json', 'w') as outfile:
for row in curs.fetchall():
results.append(dict(zip(columns, row)))
print results
output = {"TableData": results}
json.dump(output, outfile, sort_keys = True, indent = 4, ensure_ascii=False)
答案 0 :(得分:0)
这段代码非常关注它。
def get_last_three_installed_user(file_type):
count_sql = "select name,gender,nationality,registered,DATE_FORMAT(from_unixtime(registered), '%Y-%m-%d') registered_date from install_user order by from_unixtime(registered) desc limit 1,3 "
curs.execute(count_sql)
results = []
dict1 ={}
if file_type == 'csv':
fp = open('user_list.csv', 'w')
csvFile = csv.writer(fp)
rows = curs.fetchall()
csvFile.writerows(rows)
else:
with open('file_count.json', 'w') as outfile:
for row in curs.fetchall():
for idx, col in enumerate(curs.description):
dict1[col[0]] = row[idx]
results.append(dict1)
output = {"TableData": results}
json.dump(output, outfile, sort_keys = True, indent = 4, ensure_ascii=False)