pandas to_sql all columns as nvarchar

Question

I have a pandas dataframe that is dynamically created with columns names that vary. I\'m trying to push them to sql, but don\'t want them to go to mssqlserver as the defaul

Answer 1

You can create this dict dynamically if you do not know the column names in advance:

from sqlalchemy.types import NVARCHAR
df.to_sql(...., dtype={col_name: NVARCHAR for col_name in df})

Note that you have to pass the sqlalchemy type object itself (or an instance to specify parameters like NVARCHAR(length=10)) and not a string as in your example.