I am importing both pandas and numpy in Jupyter notebooks
I have 2 columns x and y in dataframe (df) which are fed in from a larger CSV but these are the 2 columns that are relevant to the calculation, x is an int, y is a float.
In SAS I would type:
case
when t1.x <> 1 or t1.y not in (1,2)
then z
else t1.y
end
I can't get that to work in Python whereby the column y is overwritten when calculating the formula I've been using conditions and choices for the simpler queries but the following doesn't work:
conditions = [
(df['x'] != 1)] | (df['y'] not in (1,2))]
choices = [z]
df['y'] = np.select(conditions, choices, default=(df['y']))
Any suggestions?