t7['day_gap_before'] = t7.date_received_date.apply(get_day_gap_before)
Traceback (most recent call last):
File "C:\Users\TangX\AppData\Local\Temp\ipykernel_10460\2415590082.py", line 1, in <cell line: 1>
t7['day_gap_before'] = t7.date_received_date.apply(get_day_gap_before)
File "F:\Anaconda_app\lib\site-packages\pandas\core\series.py", line 4433, in apply
return SeriesApply(self, func, convert_dtype, args, kwargs).apply()
File "F:\Anaconda_app\lib\site-packages\pandas\core\apply.py", line 1082, in apply
return self.apply_standard()
File "F:\Anaconda_app\lib\site-packages\pandas\core\apply.py", line 1137, in apply_standard
mapped = lib.map_infer(
File "pandas_libs\lib.pyx", line 2870, in pandas._libs.lib.map_infer
File "C:\Users\TangX\AppData\Local\Temp\ipykernel_10460\2229747806.py", line 6, in get_day_gap_before
this_gap = (date(int(date_received[0:4]),int(date_received[4:6]),int(date_received[6:8]))-date(int(d[0:4]),int(d[4:6]),int(d[6:8]))).days
ValueError: invalid literal for int() with base 10: 'Date'
t7['day_gap_before'] = t7.date_received_date.apply(get_day_gap_before)
Traceback (most recent call last):
File "C:\Users\TangX\AppData\Local\Temp\ipykernel_10460\2415590082.py", line 1, in <cell line: 1>
t7['day_gap_before'] = t7.date_received_date.apply(get_day_gap_before)
File "F:\Anaconda_app\lib\site-packages\pandas\core\series.py", line 4433, in apply
return SeriesApply(self, func, convert_dtype, args, kwargs).apply()
File "F:\Anaconda_app\lib\site-packages\pandas\core\apply.py", line 1082, in apply
return self.apply_standard()
File "F:\Anaconda_app\lib\site-packages\pandas\core\apply.py", line 1137, in apply_standard
mapped = lib.map_infer(
File "pandas_libs\lib.pyx", line 2870, in pandas._libs.lib.map_infer
File "C:\Users\TangX\AppData\Local\Temp\ipykernel_10460\2229747806.py", line 6, in get_day_gap_before
this_gap = (date(int(date_received[0:4]),int(date_received[4:6]),int(date_received[6:8]))-date(int(d[0:4]),int(d[4:6]),int(d[6:8]))).days
ValueError: invalid literal for int() with base 10: 'Date'