How to convert list of model objects to pandas dataframe?

Question

I have an array of objects of this class

class CancerDataEntity(Model):

    age = columns.Text(primary_key=True)
    gender = columns.Text(primary_key=True)         


        

Answer 1

I would like to emphasize Jim Hunziker's comment.

pandas.DataFrame([vars(s) for s in signals])

It is far easier to write, less error-prone and you don't have to change the to_dict() function every time you add a new attribute.

If you want the freedom to choose which attributes to keep, the columns parameter could be used.

pandas.DataFrame([vars(s) for s in signals], columns=['x', 'y'])

The downside is that it won't work for complex attributes, though that should rarely be the case.