read_excel can't read datetime values

read_excel from SWAT works different that read_excel from Pandas, wich makes me unable to read Date column as a Datetime value.

SWAT: storm_damage = conn.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage", casout=dict(name="STORM_DAMAGE", replace=True, caslib="Public"))
It reads Date column as Varchar

Pandas: sd = pd.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage")
It reads Date column as datetime64

I've tried explicity use converters and it is not helping:

SWAT: storm_damage = conn.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage",
casout=dict(name="STORM_DAMAGE", replace=True, caslib="Public"),
converters={'Date': pd.to_datetime})

Pandas: sd = pd.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage", converters={'Date': pd.to_datetime})

Anything I do I see the action run is:
NOTE: 20: action table.loadTable / path='_f_c15dc565_7ff582b29b88.csv', readAhead=true, importOptions={fileType='csv', vars={Cost={type='double'}, Date={type='varchar'}, Event={type='varchar'}, Summary={type='varchar'}}, locale='EN-us'}, resident=true, promote=false, caslib='_LIB_C15DC565_7FF582B29B88', casOut={name='STORM_DAMAGE', caslib='Public', replace=true}, singlePass=false, noSource=true;

Beginne am Einstiegspunkt conn.read_excel und untersuche die protokollierte table.loadTable-Aktion, insbesondere den varchar-Typ der Variable Date und die CSV-Importoptionen. Reproduziere die gemeldete Arbeitsmappe und überprüfe, dass die Date-Spalte als datetime-Wert geladen wird, während das bestehende read_excel-Verhalten für andere Spalten beibehalten wird.