How to I create a column in a Dataframe I need to have 1 if in the range and 0 if otherwise?
Question:
According to this strategy, we should invest between November and April and don’t invest between May and October. Add a column month to the DataFrame world_returns with the calendar month of each observation. For every row, in this column, you should have a number from 1 to 12 indicating to which calendar month that observation belongs. Add a second column called signal that is equal to 1 if the month is between November and April (included) and 0 otherwise.
Can someone please help with the second part of the question for the column ‘signal’
As of now i have put:
world_returns[‘month’] = world_returns.index.month
world_returns[‘signal’] = np.where(world_returns[‘month’] ==(11,12,1,2,3,4) ,1 ,0)
world_returns.head()
Answers:
The issue with what you have tried is you are trying to check where the month column contains the whole tuple (11,12,1,2,3,4), rather than checking where the values in month are in that tuple. Your code would work if your dataframe looked like below:
data month
0 foo 1
1 foo 2
2 foo (11, 12, 1, 2, 3, 4)
Then np.where(df['month'] == (11,12,1,2,3,4) ,1 ,0) returns array([0, 0, 1]).
What you want to do is have a 1 if the month is in (11,12,1,2,3,4). To do this, you need to edit your conditional statement within the where clause. The function .isin() can be used to check if a value is contained within a list, like the below:
world_returns['month'].isin([11,12,1,2,3,4])
If you change your conditional statement in the where clause, you should get the desired result.
According to this strategy, we should invest between November and April and don’t invest between May and October. Add a column month to the DataFrame world_returns with the calendar month of each observation. For every row, in this column, you should have a number from 1 to 12 indicating to which calendar month that observation belongs. Add a second column called signal that is equal to 1 if the month is between November and April (included) and 0 otherwise.
Can someone please help with the second part of the question for the column ‘signal’
As of now i have put:
world_returns[‘month’] = world_returns.index.month
world_returns[‘signal’] = np.where(world_returns[‘month’] ==(11,12,1,2,3,4) ,1 ,0)
world_returns.head()
The issue with what you have tried is you are trying to check where the month column contains the whole tuple (11,12,1,2,3,4), rather than checking where the values in month are in that tuple. Your code would work if your dataframe looked like below:
data month
0 foo 1
1 foo 2
2 foo (11, 12, 1, 2, 3, 4)
Then np.where(df['month'] == (11,12,1,2,3,4) ,1 ,0) returns array([0, 0, 1]).
What you want to do is have a 1 if the month is in (11,12,1,2,3,4). To do this, you need to edit your conditional statement within the where clause. The function .isin() can be used to check if a value is contained within a list, like the below:
world_returns['month'].isin([11,12,1,2,3,4])
If you change your conditional statement in the where clause, you should get the desired result.