how can i get one min/max value of several columns from a dataframe? I could not find a simple way to get these values, only with looping over the columns or converting the dataframe multiple times. I think there must be a better way to solve this.
For example, here are some code...
import pandas as pd
df = pd.DataFrame([[0,1,2,3],
[6,5,None,pd.NaT],
[8,None,9,None],
[None,12,7,14]], columns=list('ABCD'))
... this is what's the dataframe looks like and I want the min/max of column 'C' and 'D'.
A B C D
0 0.0 1.0 2.0 3
1 6.0 5.0 NaN NaT
2 8.0 NaN 9.0 None
3 NaN 12.0 7.0 14
What is a good way to do this?
Additional Note: The result of both columns ['C','D'] should be one value for min (2) and one value for max (14)
You can use,
df[['C','D']].min().min()
2.0
and
df[['C', 'D']].max().max()
14.0
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