Specific content of error reporting:
Traceback (most recent call last):
File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 456, in _convert_listlike_datetimes
values, tz = conversion.datetime_to_datetime64(arg)
File "pandas_libs\tslibs\conversion.pyx", line 350, in pandas._libs.tslibs.conversion.datetime_to_datetime64
TypeError: Unrecognized value type: <class 'str'>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\spatio-temporal-weather-forecasting-master\run.py", line 32, in
run_highres(model_name="weather_model")
File "D:\spatio-temporal-weather-forecasting-master\run.py", line 9, in run_highres
train_test(experiment_params=experiment_params,
File "D:\spatio-temporal-weather-forecasting-master\experimenter.py", line 44, in train_test
weather_data = data_creator.create_data()
File "D:\spatio-temporal-weather-forecasting-master\data_generation\data_creator.py", line 56, in create_data
path_arr = self.sort_files_by_date(paths=path_list,
File "D:\spatio-temporal-weather-forecasting-master\data_generation\data_creator.py", line 121, in sort_files_by_date
date_df['dates'] = pd.to_datetime(
File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 805, in to_datetime
values = convert_listlike(arg._values, format)
File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 460, in _convert_listlike_datetimes
raise e
File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 423, in _convert_listlike_datetimes
result, timezones = array_strptime(
File "pandas_libs\tslibs\strptime.pyx", line 144, in pandas._libs.tslibs.strptime.arraystrptime
ValueError: time data 'highres' does not match format '%Y-%m-%d%H' (match)
i have download the highres and weatherbench datasets and put it under the data directory. The locations should be:
Specific content of error reporting: Traceback (most recent call last): File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 456, in _convert_listlike_datetimes values, tz = conversion.datetime_to_datetime64(arg) File "pandas_libs\tslibs\conversion.pyx", line 350, in pandas._libs.tslibs.conversion.datetime_to_datetime64 TypeError: Unrecognized value type: <class 'str'>
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "D:\spatio-temporal-weather-forecasting-master\run.py", line 32, in
run_highres(model_name="weather_model")
File "D:\spatio-temporal-weather-forecasting-master\run.py", line 9, in run_highres
train_test(experiment_params=experiment_params,
File "D:\spatio-temporal-weather-forecasting-master\experimenter.py", line 44, in train_test
weather_data = data_creator.create_data()
File "D:\spatio-temporal-weather-forecasting-master\data_generation\data_creator.py", line 56, in create_data
path_arr = self.sort_files_by_date(paths=path_list,
File "D:\spatio-temporal-weather-forecasting-master\data_generation\data_creator.py", line 121, in sort_files_by_date
date_df['dates'] = pd.to_datetime(
File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 805, in to_datetime
values = convert_listlike(arg._values, format)
File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 460, in _convert_listlike_datetimes
raise e
File "D:\anaconda\envs\pytorch\lib\site-packages\pandas\core\tools\datetimes.py", line 423, in _convert_listlike_datetimes
result, timezones = array_strptime(
File "pandas_libs\tslibs\strptime.pyx", line 144, in pandas._libs.tslibs.strptime.arraystrptime
ValueError: time data 'highres' does not match format '%Y-%m-%d%H' (match)
i have download the highres and weatherbench datasets and put it under the data directory. The locations should be:
highres --> data/data_dump weatherbench --> data/weatherbench