How to perform single operation on Multiple columns of Dataframe

Question

I have the following dataframe:

df
>>>                                     TSLA             MSFT
2017-05-15 00:00:00+00:00                320               


        

Answer 1

I am not sure about your true/false conditions, but I think you need something like this, thanks to @JohnGalt:

df.apply(lambda x: ((1 - x/x.max()) > 0.05).all())

Or using your logic:

df.apply(lambda x: ((x[x.idxmax()]-x)/x[x.idxmax()]*100>5).all())

Output:

TSLA    False
MSFT    False
dtype: bool

Let's look at one column,

John's formula:

1 - df.TSLA/df.TSLA.max()

Returns:

2017-05-15 00:00:00+00:00    0.000000
2017-05-16 00:00:00+00:00    0.003125
2017-05-17 00:00:00+00:00    0.018750
2017-05-18 00:00:00+00:00    0.021875
2017-05-19 00:00:00+00:00    0.012500
2017-05-22 00:00:00+00:00    0.018750
2017-05-23 00:00:00+00:00    0.031250
Name: TSLA, dtype: float64

If all of those values are greater than 5 return True, else return False.

My original formula works also, just a bit more calculation to do the same thing that John formula does. Lastly, use lambda function to apply this formula to each column independently.