如何将带有字典值的 DataFrame 转换为其他 DataFrame，键作为列标题

Question

I have pandas dataframe like below:

     "Unnamed: 0"
   0 {1:'Apple1', 2:'LemonA', 3:'StrawberryX'}
   1 {1:'Apple2', 2:'LemonB', 3:'StrawberryW'}
   2 {1:'Apple3', 2:'LemonC', 3:'StrawberryZ'}]

so myDf is DataFrame with 3*1 (3 rows and 1 column) What is the best way to modify it like below:

        1         2          3
   0 'Apple1' 'LemonA' 'StrawberryX'
   1 'Apple2' 'LemonB' 'StrawberryW'
   2 'Apple3' 'LemonC' 'StrawberryZ'

After modification my new data shape is 3*3

Answer 1

Assuming you have a series you can do

pd.DataFrame(list(df['"Unnamed: 0"']))

        1       2            3
0  Apple1  LemonA  StrawberryX
1  Apple2  LemonB  StrawberryW
2  Apple3  LemonC  StrawberryZ

Answer 2

Thanks for everyone who helped, I've just figure-out the answer to my own question

This is how I solve it,

1. I convert all data on all rows into dictionary using pandas.DataFrame().to_dict() and save it on variable x

2. Then I run the following code

   newDf = pandas.DataFrame(x)

pandas is smart enough to read dictionary keys as column. :)

Answer 3

d = {1: ['Apple1', 'Apple2', 'Apple3'], 2: ['LemonA', 'LemonB', 'LemonC'], 3: ['StrawberryX', 'StrawberryY', 'StrawberryZ']} df = pd.DataFrame(data=d) df 1 2 3 0 Apple1 LemonA StrawberryX 1 Apple2 LemonB StrawberryY 2 Apple3 LemonC StrawberryZ

that would be the classic solution (you can skip putting the dictionery in the variable "d" and just write data={the data}, it just looks nicer)