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American Academy of Ophthalmology Standards for Corneal and Refractive Surgical procedure seventh Version 2016 Medical. Eye Surgical procedure For Dummies is your on-line, illustrated, how-to information for surgical procedure of the eyes. You’ll be taught. For simple, on-the-go entry to all of the sources it’s essential make. Free Medical Books On-line. Medical Books Free On-line. Purchase now.
Chapter 5  Chapter III  Chapter III  Title. This ebook is about a regular description of the anatomy and physiology of the attention  .Q:

How you can make output a listing of all distinctive values of two adjoining columns, and alter column names to make the output simpler to learn

I’ve the next information body:
X1 X2 X3 X4
1 2 5 4 6
2 4 2 3 6
3 2 1 4 3
4 6 6 5 5
5 7 5 6 7

I might wish to create a brand new information body that appears like this:
X2 X3 X4
1 [2, 5] [4, 6]
2 [2, 5, 4] [3, 6]
3 [2, 1, 4] [4, 3]
4 [6, 6] [5, 5]
5 [7, 5, 6] [5, 7]

I might wish to create this output as a way to use the distribution mannequin in google visualization. I’ve tried the next:
df = df.choose(df[‘X1’].distinct(),df[‘X2’].distinct(),df[‘X3’].distinct(),df[‘X4’].distinct())

However this did not work as I used to be getting:
AttributeError: ‘DataFrame’ object has no attribute ‘distinct’

A:

You should utilize groupby:
In [101]: df
Out[101]:
c6a93da74d

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