Pandas Loc selection to a list of NaN and Values

I want to select some points from a pandas data frame df under a certain condition and then add them to a plot using mplfinance.
Im using the mpf.make_addplot() function. This takes a list in the form of:

signal=[nan, nan, 7, nan, 6, 8, nan]

However selecting values from a pandas df gives a list like so:

df = pd.DataFrame({'column': [1, 2, 7, 0, 6, 8, -9]
pandaslist =  df.loc[ df.column > 5 ]
pandaslist = [7,6,8]

(Ofcourse the pandaslist has an index)
Is there a way to use pandas loc to get a list in form of the signal list?
Is there a way to make mpf to accept input in the style of the pandaslist?

>Solution :

.loc doesn’t work like that.

Instead, you can use df.where() to select the values you want while nullifying the others.

df.where(df['column'] > 5)

   column
0     NaN
1     NaN
2     7.0
3     NaN
4     6.0
5     8.0
6     NaN