I am trying to create a pandas dataframe that combines all children into one row
class Parent(Base):
__tablename__ = 'parent'
id = Column(Integer, primary_key=True)
name = Column(String())
class = Column(String())
all_distance = relationship('Distance', back_populates='parent')
all_weight = relationship('Weight', back_populates='parent')
class Distance(Base):
__tablename__ = 'distance'
id = Column(Integer, primary_key=True)
distance = Column(String())
finished = Column(String())
parent_id = Column(Integer, ForeignKey('parent.id'))
parent = relationship('Parent', back_populates='all_distance')
class Weight(Base):
__tablename__ = 'weight'
id = Column(Integer, primary_key=True)
weight = Column(String())
height = Column(String())
parent_id = Column(Integer, ForeignKey('parent.id'))
parent = relationship('Parent', back_populates='all_weight')
Tables with some data:
parent
ID | Name | Class
1 | Joe | Paladin
2 | Ron | Mage
3 | Sara | Knight
distance
ID | distance | finished | parent_id
1 | 2 miles | yes | 1
2 | 3 miles | yes | 1
3 | 1 miles | yes | 1
4 | 10 miles | no | 2
weight
ID | Weight | height | parent_id
1 | 5 lbs | 5'3 | 1
2 | 10 lbs | 5'5 | 2
The goal is to create a pandas dataframe that would look like this:
1 | Joe | Paladin | 2 miles | yes | 3 miles | yes | 1 miles | yes | 5lbs | 5'3
2 | Ron | Mage | 10 miles | no | None | None | None | None | 10lbs | 5'5
3 | Sara | Knight | None | None | None | None | None | None | None | None
How would I do that?
I've gotten somewhat close
df = pd.read(db_session.query(Parent, Distance, Weight).join(Distance).join(Weight).statement, db_session.bind)
which gives me the data frame of everything joined together.
list(df.columns.values)
['id', 'name', 'class', 'id', 'distance', 'finished', 'id', 'weight', 'height']
How do I prevent the same column headers? ie - id is now 3 times
However when I try to make a pivot table:
df.pivot(index="id") it is returning an error:
Traceback (most recent call last):
File "", line 1, in
File "/anaconda2/lib/python2.7/site-packages/pandas/core/frame.py", line 5194, in pivot
return pivot(self, index=index, columns=columns, values=values)
File "/anaconda2/lib/python2.7/site-packages/pandas/core/reshape/reshape.py", line 400, in pivot
indexed = self.set_index(cols, append=append)
File "/anaconda2/lib/python2.7/site-packages/pandas/core/frame.py", line 3909, in set_index
level = frame[col]._values
File "/anaconda2/lib/python2.7/site-packages/pandas/core/frame.py", line 2688, in __getitem__
return self._getitem_column(key)
File "/anaconda2/lib/python2.7/site-packages/pandas/core/frame.py", line 2698, in _getitem_column
result = self._constructor(self._data.get(key))
File "/anaconda2/lib/python2.7/site-packages/pandas/core/internals.py", line 4130, in get
raise TypeError("cannot label index with a null key")
TypeError: cannot label index with a null key
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