最佳答案
运行这部分代码时出错。我尝试了一些现有的解决方案,但没有一个有帮助。
elec_and_weather = pd.read_csv(r'C:\HOUR.csv', parse_dates=True,index_col=0)
# Add historic DEMAND to each X vector
for i in range(0,24):
elec_and_weather[i] = np.zeros(len(elec_and_weather['DEMAND']))
elec_and_weather[i][elec_and_weather.index.hour==i] = 1
# Set number of hours prediction is in advance
n_hours_advance = 24
# Set number of historic hours used
n_hours_window = 24
for k in range(n_hours_advance,n_hours_advance+n_hours_window):
elec_and_weather['DEMAND_t-%i'% k] = np.zeros(len(elec_and_weather['DEMAND']))'
我总是得到这个错误:
for i in range(0,24):
File "<ipython-input-29-db3022a769d1>", line 1
for i in range(0,24):
^
SyntaxError: unexpected EOF while parsing
File "<ipython-input-25-df0a44131c36>", line 1
for k in range(n_hours_advance,n_hours_advance+n_hours_window):
^
SyntaxError: unexpected EOF while parsing