I have an array of objects of this class
age = columns.Text(primary_key=True)
gender = columns.Text(primary_key=True)
cancer = columns.Text(primary_key=True)
deaths = columns.Integer()
When printed, the array looks like this
[CancerDataEntity(age=u'80-85+', gender=u'Female', cancer=u'All cancers (C00-97,B21)', deaths=15306), CancerDataEntity(...
I want to convert this to a data frame so I can play with it in a more suitable way to me - to aggregate, count, sum and similar. How I wish this data frame to look, would be something like this:
age gender cancer deaths
0 80-85+ Female ... 15306
Is there a way to achieve this using numpy/pandas easily, without manually processing the input array?