How to get Python to gracefully format None and non-existing fields

If I write in Python: data = {'n': 3, 'k': 3.141594, 'p': {'a': 7, 'b': 8}} print('{n}, {k:.2f}, {p[a]}, {p[b]}'.format(**data)) del data['k'] data['p']['b'] = None print('{n}, {k:.2f}, {p[a]}, {p[b]}'.format(**data)) I get: 3, 3.14, 7, 8 Traceback (most recent call last): File "./funky.py", line 186, in <module> print('{n}, {k:.2f}, {p[a]}, {p[b]}'.format(**data)) KeyError: 'k' Instead of an … Read more

Adding two Series with NaNs

I’m working through the “Python For Data Analysis” and I don’t understand a particular functionality. Adding two pandas series objects will automatically align the indexed data but if one object does not contain that index it is returned as NaN. For example from book: