Let’s revisit our orders from ShoeFly.com:
| id | first_name | last_name | shoe_type | shoe_material | shoe_color | |
|---|---|---|---|---|---|---|
| 54791 | Rebecca | Lindsay | [email protected] | clogs | faux-leather | black |
| 53450 | Emily | James | [email protected] | ballet flats | faux-leather | navy |
| 91987 | Joyce | Waller | [email protected] | sandals | fabric | black |
| 14437 | Justin | Erickson | [email protected] | clogs | faux-leather | red |
| … |
Maybe our Customer Service department has just received a message from Joyce Waller, so we want to know exactly what she ordered. We want to select this single row of data.
DataFrames are zero-indexed, meaning that we start with the 0th row and count up from there. Joyce Waller’s order is the 2nd row.
We select it using the following command:
When we select a single row, the result is a Series (just like when we select a single column).
Instructions
You’re getting ready to staff the clinic for March this year. You want to know how many visits took place in March last year, to help you prepare.
Write a command that will produce a Series made up of the March data from df from all four clinic sites and save it to the variable march.