Add __getattr__ override to MicroDataFrame

[nikhilwoodruff]

This would allow:

df = mdf.MicroDataFrame(dict(first_column=[1, 2, 3]), weights=[2, 2, 1])
df.first_column

Currently, we can only do:

df["first_column"]

We just would need to add a getattr override to MicroDataFrame, call the super function and wrap the results in the same MicroDataFrame configuration that it's called from.

[hdoupe]

Hey @nikhilwoodruff, I've been passively lurking in the Github notifications for this project and have enjoyed seeing the progress y'all are making!

I did something kinda similar in Tax-Calculator a few months ago if it's helpful: https://github.com/hdoupe/Tax-Calculator/blob/df-based/taxcalc/data.py#L313-L342

Although judging from the work you've done already, you don't need my help haha.

[nikhilwoodruff]

Thanks @hdoupe, that tax-calc example is pretty cool, and interesting that it uses setattr too. Not sure if there's any Pandas uses for setattr we need to cover @MaxGhenis?

[MaxGhenis]

pandas lets you overwrite an existing value with setattr, but only if the column already exists:

import pandas as pd
df = pd.DataFrame({"x": [1]})
df.x = 2
df

yields:

	x
0	2

Where:

df.y = 2
df

still yields:

	x
0	2