def to_sql(engine, df, table, if_exists='fail', sep='t', encoding='utf8',
    schema='public', dtypes_sql=None, verbose=False):
    # Create Table
    ## istruzioni diverse se le colonne hanno dtypes diversi
    if verbose==True:
        print("Scrivo tabella targhe su tabella di schema {}".format(schema))
    if dtypes_sql is None:
        df[:0].to_sql(table, engine, if_exists=if_exists,schema=schema, index=False)
    else:
        df[:0].to_sql(table, engine, if_exists=if_exists,schema=schema, index=False,dtype=dtypes_sql)
    # Prepare data
    output = StringIO()
    df.to_csv(output, sep=sep, header=False, encoding=encoding, index=False)
    output.seek(0)

    # Insert data
    connection = engine.raw_connection()
    cursor = connection.cursor()
    #handling different schemas:
    if schema in ['public','dbo']:
        cursor.copy_from(output, table, sep=sep, null='')

    else:
        new_table = schema + "." + table
        cursor.copy_from(output, new_table, sep=sep, null='')
    connection.commit()
    cursor.close()
    if verbose==True:
        print("Saved")
    return None

input_file_df.replace(to_replace=b'x00',value=' ', inplace=True,regex=True)
input_file_df.replace(to_replace="x00", value=" ",inplace=True)
input_file_df.where(pd.notnull(input_file_df), None,inplace=True)