將字符串字典類型轉換為字典

Question

我正在嘗試使用 python 將數據幀的列轉換為 dict。

dataframe 的形式為

filename        bbox-coordinates

image_name1     '{""name"":""rect"",""x"":161,""y"":562,""width"":51,""height"":96}'
image_name2     '{""name"":""rect"",""x"":151,""y"":542,""width"":32,""height"":69}'
image_name3     '{""name"":""rect"",""x"":140,""y"":42,""width"":30,""height"":45}'

bbox 坐標值是字符串類型，我正在嘗試將其轉換為 dict。

dataframe['bbox-coordinate'][2]
output: '{""name"":""rect"",""x"":140,""y"":42,""width"":30,""height"":45}' which is string

這里：

 [1] type(dataframe['region_shape_attributes'][0])
output: str

我嘗試使用：

ast.literal_eval --- doesn't work 
json.loads(dataframe['bbox-coordinate'][2]) 
output: JSONDecodeError: Expecting ':' delimiter: line 1 column 4 (char 3)

我的最終目標是將整個 dataframe 轉換為帶有圖像 class 名稱的 YOLO format.txt，這只有一個 class 即 0，並以 Y_O 格式提取每個文件的高度 x、寬度和寬度。

Answer 1

出於某種原因，您的字符串中似乎有雙雙引號（ "" ）。 只需用單個雙引號（ " ）替換它們， ast.literal_eval()就可以了。

from ast import literal_eval

strings = [
    '{""name"":""rect"",""x"":161,""y"":562,""width"":51,""height"":96}',
    '{""name"":""rect"",""x"":151,""y"":542,""width"":32,""height"":69}',
    '{""name"":""rect"",""x"":140,""y"":42,""width"":30,""height"":45}'
    ]

dicts = []
for s in strings:
    d = literal_eval(s.replace('""', '"'))
    dicts.append(d)

print(dicts)

返回

[{'name': 'rect', 'x': 161, 'y': 562, 'width': 51, 'height': 96}, 
 {'name': 'rect', 'x': 151, 'y': 542, 'width': 32, 'height': 69}, 
 {'name': 'rect', 'x': 140, 'y': 42, 'width': 30, 'height': 45}]

Answer 2

我找到了使用 json 的解決方案

import json

strigDicts = [
    '{""name"":""rect"",""x"":161,""y"":562,""width"":51,""height"":96}',
    '{""name"":""rect"",""x"":151,""y"":542,""width"":32,""height"":69}',
    '{""name"":""rect"",""x"":140,""y"":42,""width"":30,""height"":45}'
    ]

dicts = []
for d in strigDicts:
    dicts.append(json.loads(d.replace('""', '"')))