The table below shows **daily demand**:

| Year | Daily Demand | |------|--------------| | 1990 | 100 | | 1991 | 110 | | 1992 | 120 | | 1993 | 130 | | 1994 | 140 | | .... | ... |

and would increase by 10 customers every year. Create a new table which gives the **annual** customer demand for burritos in the neighborhood where the carts stand and **show all rows of your table.**

You can assume 5 days/week and 50 weeks/year. This table should contain **all the years** where market share are recorded as in `marketshare.csv`.

write python code to accomplish this, can not use loops and can only use numpy and panda librarys