nkipa

def modelingFor5(Account):
    df_model = df[df['Account'] == Account]
    df_timeseries = pd.DataFrame(df_model.groupby(['Date'])['NetAmount'].sum()).sort_index(axis=0)
    
    data = pd.DataFrame(df_timeseries.NetAmount)
    data.columns = ["y"]
 
    # Drop data after 2019-06
    data = data.loc[data.index[:-1]]
    

nkipa

from btgym import BTgymEnv
import IPython.display as Display
import PIL.Image as Image
from gym import spaces


import gym
import numpy as np
import random