如何將逗號分隔的字典字符串拆分為Pandas數據框

Question

我有以下格式的字符串：

{apple:"34253453",oranges:"Sweet",x:"COOL"},{apple:"34222453",oranges:"Dry",x:"WARM"},{apple:"31113453",oranges:"Bitter",x:"HOT"},{apple:"38883453",oranges:"Sweet",x:"COOL"}

並希望創建一個數據框，其列標簽為“ apple”，“ oranges”，“ x”，並將值放置在它們各自的行中。

我嘗試使用此解決方案： Python將逗號分隔的列表轉換為熊貓數據框，以及將ast.literal_eval轉換為列表，然后再將其轉換為數據框，但沒有運氣。

Answer 1

您的字符串是無效的json ，因此有必要先進行替換：

import ast

s = '{apple:"34253453",oranges:"Sweet",x:"COOL"},{apple:"34222453",oranges:"Dry",x:"WARM"},{apple:"31113453",oranges:"Bitter",x:"HOT"},{apple:"38883453",oranges:"Sweet",x:"COOL"}'

ss = '[' + s.replace('{', '{"').replace(':"','":"').replace('",', '","') + ']'
print (ss)

[{"apple":"34253453","oranges":"Sweet","x":"COOL"},
 {"apple":"34222453","oranges":"Dry","x":"WARM"},
 {"apple":"31113453","oranges":"Bitter","x":"HOT"},
 {"apple":"38883453","oranges":"Sweet","x":"COOL"}]

---

df = pd.DataFrame(ast.literal_eval(ss))
print (df)
      apple oranges     x
0  34253453   Sweet  COOL
1  34222453     Dry  WARM
2  31113453  Bitter   HOT
3  38883453   Sweet  COOL

---

df = pd.DataFrame(pd.io.json.loads(ss))
print (df)
      apple oranges     x
0  34253453   Sweet  COOL
1  34222453     Dry  WARM
2  31113453  Bitter   HOT
3  38883453   Sweet  COOL