如何將字典格式的txt文件轉換為python中的數據幀？

Question

我有一個包含數據的文件，例如，

{"cid": "ABCD", "text": "alphabets", "time": "1 week", "author": "xyz"}
{"cid": "EFGH", "text": "verb", "time": "2 week", "author": "aaa"}
{"cid": "IJKL", "text": "noun", "time": "3 days", "author": "nop"}

我希望讀取這個文件並創建一個數據框，例如，

cid     text    time    author
ABCD    alpha   1week   xyz
EFGH    verb    2week   aaa
IJKL    noun    3days   nop

Answer 1

您可以嘗試使用不同的分隔符將文件讀取為 csv 並獲取第一列，然后應用ast.literal_eval轉換為實際字典並轉換回數據幀：

import ast
output = pd.DataFrame(pd.read_csv('file.txt',sep='|',header=None).iloc[:,0]
         .apply(ast.literal_eval).tolist())

---

print(output)

    cid       text    time author
0  ABCD  alphabets  1 week    xyz
1  EFGH       verb  2 week    aaa
2  IJKL       noun  3 days    nop

工作示例：

file = """{"cid": "ABCD", "text": "alphabets", "time": "1 week", "author":"xyz"}
{"cid": "EFGH", "text": "verb", "time": "2 week", "author": "aaa"}
{"cid": "IJKL", "text": "noun", "time": "3 days", "author": "nop"}"""

import io #dont need for reading a file directly , just for example
import ast
print(pd.DataFrame(pd.read_csv(io.StringIO(file),sep='|',header=None).iloc[:,0]
             .apply(ast.literal_eval).tolist()))

---

    cid       text    time author
0  ABCD  alphabets  1 week    xyz
1  EFGH       verb  2 week    aaa
2  IJKL       noun  3 days    nop
​