how to access the dataframe with floating point index and column names

Question

I have the dataframe like below

df:

                    138.750000 138.750111 138.750222
35.666556           695.6      700.3      709.5
35.666444           701.5      706.0      713.4
35.666333           717.8      717.5      720.4

How can I access the dataframe value

df[35.666556,138.750000]

695.6

Doing this will give an error of float datatype error.

Thanks -Megha

Please read [this](https://stackoverflow.com/questions/20109391/how-to-make-good-reproducible-pandas-examples) on how to post a good pandas question. — Ukrainian-serge, Mar 18 '20 at 04:18
the above assume columns names to be an object. If float names then it should be df[138.750000][35.666556] — Pygirl, Mar 18 '20 at 04:56

score 0 · Answer 1 · answered Mar 18 '20 at 04:52

0

df:

                    138.750000 138.750111 138.750222
35.666556           695.6      700.3      709.5
35.666444           701.5      706.0      713.4
35.666333           717.8      717.5      720.4

df[138.750000][35.666556]

695.6

answered Mar 18 '20 at 04:52

Pygirl

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how to access the dataframe with floating point index and column names

1 Answers1