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如何在JSON檔案的不同行上輸出字典陣列？

2021-11-07 22:27:42 .NET開發 

import json
import csv


def load_matching_data(min_scores,min_stories,min_units):
  array = []
  with open("apartment_building_evaluation.csv", "r") as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=",")
    for column in csv_reader:
      address = column[26]
      if (int(float(column[2])) >= min_stories) and (int(float(column[3]))>= min_units) and ((float(column[24]))>= min_scores):
        dict = {"address" : address, "score": float(column[24]), "num_stories": int(float(column[2])), "num_units": int(float(column[3]))}
        array.append(dict)
    return array
result = load_matching_data(82,28,300)

我得到了這個輸出，它是我想要的字典陣列

returned value:  [{"address": "252  VICTORIA ST ", "score": 95.0, "num_stories": 37, "num_units": 337}, {"address": "320  TWEEDSMUIR AVE ", "score": 93.0, "num_stories": 30, "num_units": 336}, {"address": "570  BAY ST ", "score": 100.0, "num_stories": 29, "num_units": 463}, {"address": "77  DAVISVILLE AVE ", "score": 90.0, "num_stories": 30, "num_units": 483}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 93.0, "num_stories": 43, "num_units": 500}, {"address": "561  SHERBOURNE ST ", "score": 99.0, "num_stories": 43, "num_units": 369}, {"address": "140  ERSKINE AVE ", "score": 98.0, "num_stories": 29, "num_units": 493}, {"address": "167  CHURCH ST ", "score": 98.0, "num_stories": 28, "num_units": 388}, {"address": "22  JOHN ST ", "score": 99.0, "num_stories": 31, "num_units": 369}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 94.0, "num_stories": 43, "num_units": 496}, {"address": "45  DUNFIELD AVE ", "score": 91.0, "num_stories": 30, "num_units": 575}, {"address": "6  FOREST LANEWAY  ", "score": 91.0, "num_stories": 29, "num_units": 406}, {"address": "118  BALLIOL ST ", "score": 86.0, "num_stories": 30, "num_units": 342}, {"address": "500  DUPLEX AVE ", "score": 87.0, "num_stories": 33, "num_units": 319}, {"address": "15  ROEHAMPTON AVE ", "score": 100.0, "num_stories": 36, "num_units": 466}]

我想使用此函式上傳到 JSON 檔案：

def save_summary(list,string):
  with open('apartment_summary.json', 'w',encoding='utf-8') as outfile:
    json.dump(list, outfile)
  return outfile



save_summary(results, 'apartment_summary.json')#appartment_summary.json is the name of the file.

我已經可以將它上傳到 JSON 檔案。我的問題是我如何能夠將此陣列上傳到 JSON 檔案，其中花括號中的每個字典都列印在不同的行上，如下所示：

    [
    {"address": "252  VICTORIA ST ", "score": 95.0, "num_stories": 37, "num_units": 337},
    {"address": "320  TWEEDSMUIR AVE ", "score": 93.0, "num_stories": 30, "num_units": 336},
    {"address": "570  BAY ST ", "score": 100.0, "num_stories": 29, "num_units": 463},
    {"address": "77  DAVISVILLE AVE ", "score": 90.0, "num_stories": 30, "num_units": 483},
    {"address": "85-95  THORNCLIFFE PARK DR ", "score": 93.0, "num_stories": 43, "num_units": 500},
    {"address": "561  SHERBOURNE ST ", "score": 99.0, "num_stories": 43, "num_units": 369},
    {"address": "140  ERSKINE AVE ", "score": 98.0, "num_stories": 29, "num_units": 493},
    {"address": "167  CHURCH ST ", "score": 98.0, "num_stories": 28, "num_units": 388},
    {"address": "22  JOHN ST ", "score": 99.0, "num_stories": 31, "num_units": 369},
    {"address": "85-95  THORNCLIFFE PARK DR ", "score": 94.0, "num_stories": 43, "num_units": 496},
    {"address": "45  DUNFIELD AVE ", "score": 91.0, "num_stories": 30, "num_units": 575},
    {"address": "6  FOREST LANEWAY  ", "score": 91.0, "num_stories": 29, "num_units": 406},
    {"address": "118  BALLIOL ST ", "score": 86.0, "num_stories": 30, "num_units": 342},
    {"address": "500  DUPLEX AVE ", "score": 87.0, "num_stories": 33, "num_units": 319},
    {"address": "15  ROEHAMPTON AVE ", "score": 100.0, "num_stories": 36, "num_units": 466}
    ]

我曾嘗試使用 indent 函式，但它會產生此輸出。

[
  {
    "address": "252  VICTORIA ST ",
    "score": 95.0,
    "num_stories": 37,
    "num_units": 337
  },
  {
    "address": "320  TWEEDSMUIR AVE ",
    "score": 93.0,
    "num_stories": 30,
    "num_units": 336
  },
  {
    "address": "570  BAY ST ",
    "score": 100.0,
    "num_stories": 29,
    "num_units": 463
  },
  {
    "address": "77  DAVISVILLE AVE ",
    "score": 90.0,
    "num_stories": 30,
    "num_units": 483
  },
  {
    "address": "85-95  THORNCLIFFE PARK DR ",
    "score": 93.0,
    "num_stories": 43,
    "num_units": 500
  },
  {
    "address": "561  SHERBOURNE ST ",
    "score": 99.0,
    "num_stories": 43,
    "num_units": 369
  },
  {
    "address": "140  ERSKINE AVE ",
    "score": 98.0,
    "num_stories": 29,
    "num_units": 493
  },
  {
    "address": "167  CHURCH ST ",
    "score": 98.0,
    "num_stories": 28,
    "num_units": 388
  },
  {
    "address": "22  JOHN ST ",
    "score": 99.0,
    "num_stories": 31,
    "num_units": 369
  },
  {
    "address": "85-95  THORNCLIFFE PARK DR ",
    "score": 94.0,
    "num_stories": 43,
    "num_units": 496
  },
  {
    "address": "45  DUNFIELD AVE ",
    "score": 91.0,
    "num_stories": 30,
    "num_units": 575
  },
  {
    "address": "6  FOREST LANEWAY  ",
    "score": 91.0,
    "num_stories": 29,
    "num_units": 406
  },
  {
    "address": "118  BALLIOL ST ",
    "score": 86.0,
    "num_stories": 30,
    "num_units": 342
  },
  {
    "address": "500  DUPLEX AVE ",
    "score": 87.0,
    "num_stories": 33,
    "num_units": 319
  },
  {
    "address": "15  ROEHAMPTON AVE ",
    "score": 100.0,
    "num_stories": 36,
    "num_units": 466
  }
]

有人可以向我解釋我做錯了什么以及如何解決這個問題嗎？

uj5u.com熱心網友回復：

你可以做類似的事情

import json

result = [{"address": "252  VICTORIA ST ", "score": 95.0, "num_stories": 37, "num_units": 337}, {"address": "320  TWEEDSMUIR AVE ", "score": 93.0, "num_stories": 30, "num_units": 336}, {"address": "570  BAY ST ", "score": 100.0, "num_stories": 29, "num_units": 463}, {"address": "77  DAVISVILLE AVE ", "score": 90.0, "num_stories": 30, "num_units": 483}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 93.0, "num_stories": 43, "num_units": 500}, {"address": "561  SHERBOURNE ST ", "score": 99.0, "num_stories": 43, "num_units": 369}, {"address": "140  ERSKINE AVE ", "score": 98.0, "num_stories": 29, "num_units": 493}, {"address": "167  CHURCH ST ", "score": 98.0, "num_stories": 28, "num_units": 388}, {"address": "22  JOHN ST ", "score": 99.0, "num_stories": 31, "num_units": 369}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 94.0, "num_stories": 43, "num_units": 496}, {"address": "45  DUNFIELD AVE ", "score": 91.0, "num_stories": 30, "num_units": 575}, {"address": "6  FOREST LANEWAY  ", "score": 91.0, "num_stories": 29, "num_units": 406}, {"address": "118  BALLIOL ST ", "score": 86.0, "num_stories": 30, "num_units": 342}, {"address": "500  DUPLEX AVE ", "score": 87.0, "num_stories": 33, "num_units": 319}, {"address": "15  ROEHAMPTON AVE ", "score": 100.0, "num_stories": 36, "num_units": 466}]

txt = ',\n'.join(json.dumps(rec) for rec in result)

lines = f'[\n{txt}\n]'

with open('out.json', 'w') as f:
  f.write(lines)

然后lines應該包含以您想要的方式格式化的資料

out.json 運行以上后：

[
{"address": "252  VICTORIA ST ", "score": 95.0, "num_stories": 37, "num_units": 337},
{"address": "320  TWEEDSMUIR AVE ", "score": 93.0, "num_stories": 30, "num_units": 336},
{"address": "570  BAY ST ", "score": 100.0, "num_stories": 29, "num_units": 463},
{"address": "77  DAVISVILLE AVE ", "score": 90.0, "num_stories": 30, "num_units": 483},
{"address": "85-95  THORNCLIFFE PARK DR ", "score": 93.0, "num_stories": 43, "num_units": 500},
{"address": "561  SHERBOURNE ST ", "score": 99.0, "num_stories": 43, "num_units": 369},
{"address": "140  ERSKINE AVE ", "score": 98.0, "num_stories": 29, "num_units": 493},
{"address": "167  CHURCH ST ", "score": 98.0, "num_stories": 28, "num_units": 388},
{"address": "22  JOHN ST ", "score": 99.0, "num_stories": 31, "num_units": 369},
{"address": "85-95  THORNCLIFFE PARK DR ", "score": 94.0, "num_stories": 43, "num_units": 496},
{"address": "45  DUNFIELD AVE ", "score": 91.0, "num_stories": 30, "num_units": 575},
{"address": "6  FOREST LANEWAY  ", "score": 91.0, "num_stories": 29, "num_units": 406},
{"address": "118  BALLIOL ST ", "score": 86.0, "num_stories": 30, "num_units": 342},
{"address": "500  DUPLEX AVE ", "score": 87.0, "num_stories": 33, "num_units": 319},
{"address": "15  ROEHAMPTON AVE ", "score": 100.0, "num_stories": 36, "num_units": 466}
]

uj5u.com熱心網友回復：

這是一個簡單的方法：

import json

result = [{"address": "252  VICTORIA ST ", "score": 95.0, "num_stories": 37, "num_units": 337}, {"address": "320  TWEEDSMUIR AVE ", "score": 93.0, "num_stories": 30, "num_units": 336}, {"address": "570  BAY ST ", "score": 100.0, "num_stories": 29, "num_units": 463}, {"address": "77  DAVISVILLE AVE ", "score": 90.0, "num_stories": 30, "num_units": 483}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 93.0, "num_stories": 43, "num_units": 500}, {"address": "561  SHERBOURNE ST ", "score": 99.0, "num_stories": 43, "num_units": 369}, {"address": "140  ERSKINE AVE ", "score": 98.0, "num_stories": 29, "num_units": 493}, {"address": "167  CHURCH ST ", "score": 98.0, "num_stories": 28, "num_units": 388}, {"address": "22  JOHN ST ", "score": 99.0, "num_stories": 31, "num_units": 369}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 94.0, "num_stories": 43, "num_units": 496}, {"address": "45  DUNFIELD AVE ", "score": 91.0, "num_stories": 30, "num_units": 575}, {"address": "6  FOREST LANEWAY  ", "score": 91.0, "num_stories": 29, "num_units": 406}, {"address": "118  BALLIOL ST ", "score": 86.0, "num_stories": 30, "num_units": 342}, {"address": "500  DUPLEX AVE ", "score": 87.0, "num_stories": 33, "num_units": 319}, {"address": "15  ROEHAMPTON AVE ", "score": 100.0, "num_stories": 36, "num_units": 466}]
results = (['[\n']   [',\n'.join(json.dumps(building) for building in result)]   ['\n]'])
upload_json = ''.join(results)
print(upload_json)

輸出：

[
{"address": "252  VICTORIA ST ", "score": 95.0, "num_stories": 37, "num_units": 337},
{"address": "320  TWEEDSMUIR AVE ", "score": 93.0, "num_stories": 30, "num_units": 336},
{"address": "570  BAY ST ", "score": 100.0, "num_stories": 29, "num_units": 463},
{"address": "77  DAVISVILLE AVE ", "score": 90.0, "num_stories": 30, "num_units": 483},
{"address": "85-95  THORNCLIFFE PARK DR ", "score": 93.0, "num_stories": 43, "num_units": 500},
{"address": "561  SHERBOURNE ST ", "score": 99.0, "num_stories": 43, "num_units": 369},
{"address": "140  ERSKINE AVE ", "score": 98.0, "num_stories": 29, "num_units": 493},
{"address": "167  CHURCH ST ", "score": 98.0, "num_stories": 28, "num_units": 388},
{"address": "22  JOHN ST ", "score": 99.0, "num_stories": 31, "num_units": 369},
{"address": "85-95  THORNCLIFFE PARK DR ", "score": 94.0, "num_stories": 43, "num_units": 496},
{"address": "45  DUNFIELD AVE ", "score": 91.0, "num_stories": 30, "num_units": 575},
{"address": "6  FOREST LANEWAY  ", "score": 91.0, "num_stories": 29, "num_units": 406},
{"address": "118  BALLIOL ST ", "score": 86.0, "num_stories": 30, "num_units": 342},
{"address": "500  DUPLEX AVE ", "score": 87.0, "num_stories": 33, "num_units": 319},
{"address": "15  ROEHAMPTON AVE ", "score": 100.0, "num_stories": 36, "num_units": 466}
]

uj5u.com熱心網友回復：

最后一種方法是map呼叫串列中的json.dumps每個元素result。例如：

import json

result = [{"address": "252  VICTORIA ST ", "score": 95.0, "num_stories": 37, "num_units": 337}, {"address": "320  TWEEDSMUIR AVE ", "score": 93.0, "num_stories": 30, "num_units": 336}, {"address": "570  BAY ST ", "score": 100.0, "num_stories": 29, "num_units": 463}, {"address": "77  DAVISVILLE AVE ", "score": 90.0, "num_stories": 30, "num_units": 483}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 93.0, "num_stories": 43, "num_units": 500}, {"address": "561  SHERBOURNE ST ", "score": 99.0, "num_stories": 43, "num_units": 369}, {"address": "140  ERSKINE AVE ", "score": 98.0, "num_stories": 29, "num_units": 493}, {"address": "167  CHURCH ST ", "score": 98.0, "num_stories": 28, "num_units": 388}, {"address": "22  JOHN ST ", "score": 99.0, "num_stories": 31, "num_units": 369}, {"address": "85-95  THORNCLIFFE PARK DR ", "score": 94.0, "num_stories": 43, "num_units": 496}, {"address": "45  DUNFIELD AVE ", "score": 91.0, "num_stories": 30, "num_units": 575}, {"address": "6  FOREST LANEWAY  ", "score": 91.0, "num_stories": 29, "num_units": 406}, {"address": "118  BALLIOL ST ", "score": 86.0, "num_stories": 30, "num_units": 342}, {"address": "500  DUPLEX AVE ", "score": 87.0, "num_stories": 33, "num_units": 319}, {"address": "15  ROEHAMPTON AVE ", "score": 100.0, "num_stories": 36, "num_units": 466}]

upload_json = '[\n'   ',\n'.join(map(json.dumps, result))   '\n]'
print(upload_json)

輸出應該與其他解決方案相同。

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標籤：Python json 蟒蛇-3.x

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