如何將 pandas dataframe 轉換為嵌套 JSON ZA8CFDE6331BD59EB66AC96F8911C4？

Question

我有一個 SQL 數據庫，我需要獲取並轉換為 JSON。 I am thinking that the first step to do that is to fetch the data from the database and load it as a dataframe, then convert the dataframe into JSON object.

假設我有以下 dataframe。

df_school = pd.DataFrame({'id':[1,2,3,4], 'school_code': ['ABC', 'IJK', 'QRS', 'XYZ'], 'name': ['School A','School B', 'School C', 'School D'], 'type':['private', 'public', 'public', 'private']})
print(df_school)

我想使用以下代碼將其轉換為 JSON。

import collections

object_list =[]
for idx, row in df_school.iterrows():
    d = collections.OrderedDict()
    d['id'] = row['id']
    d['school_code'] = row['school_code']
    d['name'] = row['name']
    d['type'] = row['type']
    object_list.append(d)

j = json.dumps(object_list)
object_list = 'school_objects.js'
f = open(object_list, 'w')
print(j)

但結果是字符串。 它只看起來像 JSON，但是當我嘗試訪問所謂的 JSON 內的項目時，就像j[0]一樣，它會打印[ ，而不是 Z0ECD11C1D7A287421D148A23BBD7 內的項目。

我還嘗試了另一種方法，將結果從 SQL 直接轉換為 JSON。

query = "Select * from school;"
df_school = pd.read_sql_query(query, connection)
json_school = df_school.head(10).to_json(orient='records')

但我也得到了字符串。

如何將其轉換為真正的 JSON object？

Answer 1

鑒於提供的df_school變量，我們只需執行j=df_school.to_json(orient='records')將其轉換為 JSON 格式的字符串。

Once we have j storing the JSON formatted string, if we want to do something with it, we first have to load the JSON into Python again using json.loads(j) . 所以如果我們這樣做：

j = df_school.to_json(orient='records')
# parse j into Python
loaded_json = json.loads(j)
print(loaded_json[0])
# print outputs: {'id': 1, 'name': 'School A', 'school_code': 'ABC', 'type': 'private'}

希望這可以幫助！

Answer 2

import pandas as pd
import json
df_school = pd.DataFrame({'id':[1,2,3,4], 'school_code': ['ABC', 'IJK', 'QRS', 'XYZ'], 'name': ['School A','School B', 'School C', 'School D'], 'type':['private', 'public', 'public', 'private']})
str_school = df_school.to_json(orient='records')
json_school = json.loads(str_school)
json_school[0]

{'id': 1, 'school_code': 'ABC', 'name': 'School A', 'type': 'private'}

Answer 3

JSON 是對象的字符串編碼。

一旦你使用json.dumps()或類似的，你會得到一個字符串。

Answer 4

試試下面的代碼，希望這會有所幫助：

data = [{columns:df_school.iloc[i][columns] for columns in list(df_school.columns)  }  for i in range(df_school.shape[0])   ]

print(data)
print("***********************")
print(type(data[0]))

輸出將是：

[{'id': 1, 'school_code': 'ABC', 'name': 'School A', 'type': 'private'},
 {'id': 2, 'school_code': 'IJK', 'name': 'School B', 'type': 'public'},
 {'id': 3, 'school_code': 'QRS', 'name': 'School C', 'type': 'public'},
 {'id': 4, 'school_code': 'XYZ', 'name': 'School D', 'type': 'private'}]

*************************
<class 'dict'>

Answer 5

data={k:list(v.values()) for k,v in df_school.to_dict().items()}
{
'id': [1, 2, 3, 4],
'school_code': ['ABC', 'IJK', 'QRS', 'XYZ'],
'name': ['School A', 'School B', 'School C', 'School D'],
'type': ['private', 'public', 'public', 'private']
}