I have a dataframe with a date column, which contains the 'month', and I need to create two dataframes from this dataframe. the first one will contain all the listings for which the month values are from 1 to 6, and the second dataframe will contain all the listings for which the month values are from 7 to 12. How can I do this? I have tried this
train_set = data.loc(data['DateTime'] <= 6)
test_set = data.loc(data['DateTime'] > 6)
But, I am getting the following error :
TypeError: unhashable type: 'Series'
Why might I be getting this error? And what is a way that I can achieve what I am trying to do? The column 'DateTime' contains only the month value that I extracted from the original data which was in python datetime format.
CodePudding user response:
Try with correct format of loc[]
.
train_set = data.loc[data['DateTime'] <= 6]
test_set = data.loc[data['DateTime'] > 6]
CodePudding user response:
Alternatively to loc
, you can as well achieve the result using:
train_set = data[data['DateTime'] <= 6]
test_set = data[data['DateTime'] > 6]