Python dict分为数据帧表示、列表和文本条目dict

我想将dict条目更改为数据帧。例如：

data1 ={'Description': ['Python is an interpreted, high-level and general-purpose programming language. Python\'s design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.[28]'],
    'Site': ['Wikipedia'],
    'Categories': ['Python', 'Programming']
    }

我想要的输出如下：

        Description                                          Site            Categories
0       Python is an interpreted, high-level and             Wikipedia       [Python, Programming]
        general-purpose programming language. Python's 
        design philosophy emphasizes code readability 
        with its notable use of significant whitespace. 
        Its language constructs and object-oriented
        approach aim to help programmers write clear, 
        logical code for small and large-scale projects
         .[28]

如果我从dict（data1）执行pd.DataFrame，我会得到这个错误

ValueError:数组的长度必须相同

在里面我被

pd.DataFrame.from_dict(data1,orient='index').transpose()

然而，出现了两个问题：

第一：描述被截断了。只有这部分文字出现：“Python是一种解释性的、高层次的和体裁的…”

第二：输出被分成两个条目，如上图所示

---

如何解决这些问题？

您正在使用的

DataFrame

构造函数使用一个

dict

，其中键是

DataFrame

中列的名称，如果您希望列类别中第一行的值成为一个列表，那么对于每个键，您在列表中的该列中都有您想要的值。然后，与

'Categories'

关联的列表的第一个元素必须是列表。作为一个简单的例子，请考虑：

data1 = {'Site': ['Wikipedia'],
         'Categories': [ ['Python', 'Programming'] ]} # list[list[str]]
df = pd.DataFrame(data1)

---

将类别转换为列表的列表

data1 ={'Description': ['Python is an interpreted, high-level and general-purpose programming language. Python\'s design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.[28]'],
'Site': ['Wikipedia'],
'Categories': [['Python', 'Programming']]
}


In[19]:  df
Out[19]: 
                                     Description  ...             Categories
0  Python is an interpreted, high-level and gener...  ...  [Python, Programming]

[1 rows x 3 columns]

由于您只有1项，因此需要将其传递到任何可迭代对象（它是可用的变体之一）。例如

描述没有被截断。显示只是一个预览。如果您通过

frame[“description”]

选择description字段，您将看到完整内容

data = [
    {
        "Description": "Python is an interpreted, high-level and general-purpose programming etc.",
        "Site": "Wikipedia",
        "Categories": ["Python", "Programming"]
    }
]
frame = pd.DataFrame(data)