#df_test.head(3)
ID Datetime
0 18288 26-09-2014 00:00
1 18289 26-09-2014 01:00
2 18290 26-09-2014 02:00
#df_test['Datetime'] = pd.to_datetime(df_test['Datetime'])
#df_test = df_test.set_index('Datetime')
Datetime ID
2014-09-26 00:00:00 18288
2014-09-26 01:00:00 18289
2014-09-26 02:00:00 18290
# Converting to daily mean
df_test_daily = df_test.resample('D').mean()
# model.predict(df_test_daily)
将交通量预测计算为每日数据后,我们如何将其转换为小时数预测。
答案 0 :(得分:0)
只需将D更改为H。
# Converting to daily mean
df_test_daily = df_test.resample('H').mean()
此处有更多信息:https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#dateoffset-objects