Python 从不同长度的主题响应对创建数据帧

我有好几本字典，上面有国家和响应对，如下所示：

survey_1: {'France': 'Not answered', 'Germany': 'No', 'UK':'Yes'}
survey_2: {'France': 'Yes', 'Germany': 'Not answered', 'USA':'Maybe'}
survey_3: {'China': 'Yes', 'Germany': 'Yes', 'United Arab Emirates':'Yes'}

长度不同，每个国家的长度也不同于其他国家。我想将它们组合成一个数据帧，如下所示：

survey_1: {'France': 'Not answered', 'Germany': 'No', 'UK':'Yes'}
survey_2: {'France': 'Yes', 'Germany': 'Not answered', 'USA':'Maybe'}
survey_3: {'China': 'Yes', 'Germany': 'Yes', 'United Arab Emirates':'Yes'}

我不知道怎么做，因为字典的长度不同

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有什么建议吗？

将多个dict转换为单个dict，然后使用

pd.DataFrame

Ex:

data = {"survey_1": {'France': 'Not answered', 'Germany': 'No', 'UK':'Yes'},
"survey_2": {'France': 'Yes', 'Germany': 'Not answered', 'USA':'Maybe'},
"survey_3": {'China': 'Yes', 'Germany': 'Yes', 'United Arab Emirates':'Yes'}}

df = pd.DataFrame(data)
print(df)

                          survey_1      survey_2 survey_3
France                Not answered           Yes      NaN
Germany                         No  Not answered      Yes
UK                             Yes           NaN      NaN
USA                            NaN         Maybe      NaN
China                          NaN           NaN      Yes
United Arab Emirates           NaN           NaN      Yes

输出：

data = {"survey_1": {'France': 'Not answered', 'Germany': 'No', 'UK':'Yes'},
"survey_2": {'France': 'Yes', 'Germany': 'Not answered', 'USA':'Maybe'},
"survey_3": {'China': 'Yes', 'Germany': 'Yes', 'United Arab Emirates':'Yes'}}

df = pd.DataFrame(data)
print(df)

                          survey_1      survey_2 survey_3
France                Not answered           Yes      NaN
Germany                         No  Not answered      Yes
UK                             Yes           NaN      NaN
USA                            NaN         Maybe      NaN
China                          NaN           NaN      Yes
United Arab Emirates           NaN           NaN      Yes