熊猫：重塑数据框

Question

I have a dataframe which is currently looks like this,

dataframe 1

I need to create a dataframe that looks like this.

dataframe 2

I need to populate the columns of dataframe 2 from the values from dataframe 1 columns. Image shows the example. What should be the algorithm and process for this?

Here is the sample dataset

 df_dict = {'hostname': {0: 'Comp890263', 1: 'Comp813682', 2: 'Comp213302', 3: 'Comp839013', 4: 'Comp966241'}, 'days': {0: 90, 1: 90, 2: 90, 3: 90, 4: 90}, 'status': {0: '1', 1: '1', 2: '1', 3: '1', 4: '1'}, 'features': {0: '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 1: '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 2: '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 3: '0,0,0,0,0,0,0,21,0,25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,21,0,0,0,0,0,0,0,0,0,6,46,0,0,0,0,759,0,0,0,0', 4: '0,0,0,0,0,0,0,43,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,43,0,0,0,0,0,0,0,0,0,30,46,0,0,0,0,795,0,0,0,0'}}

Answer 1

There is a similar question here : Pandas column values to columns? . See if their solutions with .pivot_table or unstack work for you.