Learn
Suppose we want to select the rows where the customer’s name is either “Martha Jones”, “Rose Tyler” or “Amy Pond”.
name | address | phone | age |
---|---|---|---|
Martha Jones | 123 Main St. | 234-567-8910 | 28 |
Rose Tyler | 456 Maple Ave. | 212-867-5309 | 22 |
Donna Noble | 789 Broadway | 949-123-4567 | 35 |
Amy Pond | 98 West End Ave. | 646-555-1234 | 29 |
Clara Oswald | 54 Columbus Ave. | 714-225-1957 | 31 |
… | … | … | … |
We could use the isin
command to check that df.name
is one of a list of values:
df[df.name.isin(['Martha Jones', 'Rose Tyler', 'Amy Pond'])]
Instructions
1.
Another doctor thinks that you have a lot of clinic visits in the late Winter.
Create the variable january_february_march
, containing the data from January, February, and March. Do this using a single logical statement with the isin
command.
2.
Inspect january_february_march
using print
.
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