df_month_year = spending.copy()
df_month_year['Date'] = pd.to_datetime(df_month_year['Date'])
df_month_year['month'] = df_month_year.Date.dt.month
df_month_year['year'] = df_month_year.Date.dt.year
df_month_year=df_month_year[df_month_year['year'].isin([2018, 2019])]
df_month_year=df_month_year.groupby(['year','month']).sum()['Amount'].reset_index()