如何在字典中指定键类型，值对

Question

我正在尝试以以下格式打印字典。我想这样做是因为我需要使用JSON格式在D3中打印出条形图。

[
  {
    "Month": "January",
    "Freq": 52928
  },
  {
    "Month": "March",
    "Freq": 51444
  },
  {
    "Month": "April",
    "Freq": 51209
  },
  {
    "Month": "May",
    "Freq": 53394
  },
  {
    "Month": "June",
    "Freq": 53662
  },
  {
    "Month": "July",
    "Freq": 58696
  },
  {
    "Month": "August",
    "Freq": 58072
  },
  {
    "Month": "December",
    "Freq": 55187
  },
  {
    "Month": "November",
    "Freq": 50016
  },
  {
    "Month": "February",
    "Freq": 46079
  },
  {
    "Month": "October",
    "Freq": 53650
  },
  {
    "Month": "September",
    "Freq": 54117
  }
]

目前，我喜欢[{'Wyoming': 630, 'Alaska': 1617}]。如何将其转换为以上格式？我将其添加到列表中是因为我还需要数组中的字典。

xl = pd.ExcelFile('Wyoming.xlsx')
df = xl.parse("Sheet1")
statesDict1 = dict()

allStates = df["State"]
for key in allStates:
    if key in statesDict1:
        statesDict1[key] += 1
    else:
        s = {key:1}
        statesDict1.update(s)

#print(statesDict)
statesDict = list()
statesDict.append(statesDict1)
# file = open("MurderRateState.js", "w+")
# file.write(json.dumps(statesDict))
# file.close()
print(statesDict)

Answer 1

import collections
import json

class OrderedCounter(collections.Counter, collections.OrderedDict):
    """Counter that remembers the order elements are first encountered."""
    pass

month_frequencies = OrderedCounter(df['Month']).items()

output_dicts = [{'Month': m, 'Freq': f} for m, f in month_frequencies]
print(json.dumps(output_dicts))

collections.Counter，json.dumps