Computer scienceData scienceInstrumentsPandasStoring data with pandas

.loc & .iloc

Penguin selecting

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Imagine you have a full Penguins dataset:

penguins_df.head()

Output:

+----+-----------+-----------+------------------+-----------------+---------------------+---------------+--------+
|    | species   | island    |   bill_length_mm |   bill_depth_mm |   flipper_length_mm |   body_mass_g | sex    |
|----+-----------+-----------+------------------+-----------------+---------------------+---------------+--------|
|  0 | Adelie    | Torgersen |             39.1 |            18.7 |                 181 |          3750 | MALE   |
|  1 | Adelie    | Torgersen |             39.5 |            17.4 |                 186 |          3800 | FEMALE |
|  2 | Adelie    | Torgersen |             40.3 |            18   |                 195 |          3250 | FEMALE |
|  3 | Adelie    | Torgersen |            nan   |           nan   |                 nan |           nan | nan    |
|  4 | Adelie    | Torgersen |             36.7 |            19.3 |                 193 |          3450 | FEMALE |
+----+-----------+-----------+------------------+-----------------+---------------------+---------------+--------+

Select and print the rows with row indexes equal to 5, 6, 7, 8.

Write a program in Python 3

# put your code here. The data frame is already loaded and stored as penguins_df.

print()

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