user3294779 user3294779 - 3 months ago 12
Python Question

Conditionally update Data Frame column

I'm trying to update a column from a value of 0 to a value of 1 if certain conditions are true. Here is my code:

df_['win'] = 0
df_.loc[df_['predicted_spread'] > df_['vegas_spread'] and df_['actual_spread'] > df_['vegas_spread'], 'win'] = 1

This is the error I'm getting:

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

Does anybody have any ideas of what's going on here?


When doing boolean indexing you need to use the logical operator for and which is &. See the doc here for more info

df['win'] = 0
cond_1 = df['predicted_spread'] > df['vegas_spread']
cond_2 = df['actual_spread'] > df['vegas_spread']
df.loc[cond_1 & cond_2, 'win'] = 1

Basically just your answer with & instead of and. I just rewrote it to make it a little clearer.