在python中使用json将数字格式化为float或int

我有一个包含数据的CSV文件-

 Time,site_name,cell_name,RRC_attempts,rrc_succ_rate
 2018-01-12T08:37:00-06:00,910536_ARPIN,910536-24,1,100.0
 2018-01-12T08:37:00-06:00,910536_ARPIN,910536-34,0,0.0
 2018-01-12T08:37:00-06:00,910536_ARPIN,910536-14,5,100.0

我正在使用python中的json模块将此csv转换为json

import json
import csv

csvfile_ind = open("test.csv",'r')

reader_ind = csv.DictReader(csvfile_ind)
json_file_ind = open("test_json.json", 'w')
for row in reader_ind:
    json_file_ind.write(json.dumps(row,sort_keys=False, indent=4, separators=(',', ': ')))

我目前的输出是-

        [
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-24",
            "RRC_attempts": "1",
            "rrc_succ_rate": "100.0"
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-34",
            "RRC_attempts": "0",
            "rrc_succ_rate": "0.0"
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-14",
            "RRC_attempts": "5",
            "rrc_succ_rate": "100.0"
          }
        ]

        [
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-24",
            "RRC_attempts": 1,
            "rrc_succ_rate": 100
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-34",
            "RRC_attempts": 0,
            "rrc_succ_rate": 0
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-14",
            "RRC_attempts": 5,
            "rrc_succ_rate": 100
          }
        ]

我期望的输出是-

        [
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-24",
            "RRC_attempts": "1",
            "rrc_succ_rate": "100.0"
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-34",
            "RRC_attempts": "0",
            "rrc_succ_rate": "0.0"
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-14",
            "RRC_attempts": "5",
            "rrc_succ_rate": "100.0"
          }
        ]

        [
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-24",
            "RRC_attempts": 1,
            "rrc_succ_rate": 100
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-34",
            "RRC_attempts": 0,
            "rrc_succ_rate": 0
          },
          {
            "Time": "2018-01-12T08:37:00-06:00",
            "site_name": "910536_ARPIN",
            "cell_name": "910536-14",
            "RRC_attempts": 5,
            "rrc_succ_rate": 100
          }
        ]

如何告诉json将数字解析为int或float而不是字符串？请告知。

---

注意-在编写我的CSV文件时，我使用int（）或float（）显式地将我的值转换为int或float。

自己解析CSV，当创建字典Parse

int（）

和

float（）

时，如果需要，输出到json：

import json 

with open("test.csv",'r') as f:
    # read lines, strip newlines, split at ,
    lines = [ x.strip('\n').split(',') for x in f.readlines()]    


listDic = []
for lineIndex in range(1,len(lines)):
    row = lines[lineIndex]     # get data row
    row[3] = int(row[3])       # convert data
    row[4] = float(row[4])     # convert data

    # zip to tuples of (key,value) and append to result list of dicts 
    listDic.append( dict( zip(lines[0],row)))  


with open("test_json.json", 'w') as json_file_ind:
    for row in listDic:
        json_file_ind.write(json.dumps(row,sort_keys=False, 
                            indent=4, separators=(',', ': ')))

输出：（由

json\u file\u ind

-调用创建的文件内容）

---

不要将每一行作为对

json.dumps（）

的单独调用写入。将所有行收集到一个列表中，并一次性转储所有行

要将字符串字段转换为整数，请在

dict

中对这些条目调用

int（）

import json
import csv

with csvfile_ind = open("test.csv",'r'):
    reader_ind = csv.DictReader(csvfile_ind)
    rows = []
    for row in reader_ind:
        row["RRC_attempts"] = int(row["RRC_attempts"])
        row["rrc_succ_rate"] = int(row["rrc_succ_rate"])
        rows.append(row)

with json_file_ind = open("test_json.json", 'w'):
    json.dump(rows, json_file_ind, sort_keys=False, indent=4, separators=(',', ': '))

---

这里有一种方法，您不必事先知道哪些值是数值：

import json
import csv

def numerify(row):
    for k, v in list(row.items()):
        try:
            row[k] = float(v)
            row[k] = int(v)
        except ValueError:
            pass

csvfile_ind = open("test.csv",'r')

reader_ind = csv.DictReader(csvfile_ind)
json_file_ind = open("test_json.json", 'w')
for row in reader_ind:
    numerify(row)
    json_file_ind.write(json.dumps(row,sort_keys=False, indent=4, separators=(',', ': ')))

---

如果您希望整数作为整数，浮动作为浮动，您可以按如下方式调整Robs代码：

def numerify(row):
for k, v in list(row.items()):
    try:
        row[k] = int(v)
    except ValueError:
        try:
            row[k] = float(v)
        except ValueError:
            pass

---

您当前或所需的输出都不是有效的json。请使用有效的json修改问题。除非您可以更改CSV格式以引用非数字字段，您需要在从CSV读取和写入JSON之间显式转换适当的数据。您无法从代码中获取第一个文件。如何处理可以包含字符串、整数、日期或浮点的列，并且希望每个列的格式正确？在我的例子中，我有两列，一列表示key，另一列表示attribute。我能够处理整数，但无法处理浮点。看到我的帖子了吗