如何将目标值设置为熊猫的下一行而不是当前行

Question

I'm creating a basic application to predict the 'Close' value of a stock for day n+1, given features of stock n.

I currently define my features and targets as so

features = df.loc[:,df.columns != 'Close']
targets = df.loc[:,df.columns  == 'Close']

Where targets are the data in the data frame where the column is called 'Close', and the features are those in the data frame where the column isn't called 'Close'

This gives me a fairly accurate prediction which would make sense as the Close value is likely to not differ much from the current day's open, low and high values, however I want to use model to predict the value of Close for day n+1, where n is the day, given features in n.

Answer 1

You can apply df_plus1 = df.shift(-1) function from pandas to get the dataframe of the next day.

It would create a df with same dimensions with shifted rows.