Here would be the pythonic way. Note that the `row[i] = ` rows are updating based on index position in the flds list. And for your flds list, you really only need the unique_id column (OBJECTID, GlobalID, etc) and whatever fields you would want to update.
import arcpy
import pandas as pd
flds = ['Unique_ID', 'Address', 'Info']
fc_path = 'my.gdb\\featureclass'
excel_path = 'my\\excelfile.xlsx'
#excel_data
df = pd.read_excel(excel_path)
with arcpy.da.UpdateCursor(fc_path, flds) as cursor:
for row in cursor:
#filters df to matching unique record
update = df.loc[df['Unique_ID'] == row[0]]
#checks for records
if len(update) == 0:
print(f'No updates for {row[0]}')
elif len(update) > 1:
print(f'More than one matching record, {row[0]} was mot updated')
elif len(update) == 1:
#updates address
row[1] = df.iloc[-1]['Address']
#updates info
row[2] = df.iloc[-1]['Info']
cursor.updateRow(row)
If you are intent on using something like address to identify which rows need to be updated, It would be advisable to add additional logic handles strings appropriately for matching records in terms of mismatch case, whitespace, etc. But that would be something you would need to sort out based on your data!
