将元组转换为熊猫数据框

Question

Assume that we have the following tuple

    S=({'country':[('India')],'state':[('Telangana')],'city':[('Hyderabad'),('Vizag')]}, {'date':[{'year': 2021, 'month':10}]})
    
    <class 'tuple'>
    

Can we convert this into a dataframe and get the date part into a variable

    df = key      value
         country  India
         state    Telangana
         city     Hyderabad
         city     Vizag
         
    Date = {'date':[{'year': 2021, 'month':10}]}

I have tried pd.DataFrame(json.loads(json.dumps(s))) but its not clean

Answer 1

For the first part, you can try:

pd.Series(S[0]).explode()

Result:

country    India    
state      Telangana
city       Hyderabad
city       Vizag    
dtype: object

If you need a dataframe, you can use:

df = pd.DataFrame(pd.Series(S[0]).explode().reset_index().values, columns=['key', 'value'])

Result:

print(df)

       key      value
0  country      India
1    state  Telangana
2     city  Hyderabad
3     city      Vizag

For the second part on Date , you can use:

Date = S[1]

Result:

print(Date)

{'date': [{'year': 2021, 'month': 10}]}

Answer 2

For the Date part, you can try

Date = S[1]
print(Date)

{'date': [{'year': 2021, 'month': 10}]}

As for the first part of your question, you may find the following code less than perfect, but it can easily be edited to match the desired output perfectly.

df = pd.DataFrame(
    {k:pd.Series(v) for k, v in dict(S[0]).items()}
).transpose()
print(df)

               0      1
country      India    NaN
state    Telangana    NaN
city     Hyderabad  Vizag

For more information, refer to this post