.loc with Booleans

[Mark17]

Can someone explain the mechanism of this output?

df = pd.DataFrame([[1, 2], [4, 5], [7, 8]],
     index=['cobra', 'viper', 'sidewinder'],
     columns=['max_speed', 'shield'])


>>> df.loc[[False,False,True]]
            max_speed  shield
sidewinder          7       8

[snippsat]

pandas.DataFrame.loc

.loc[] is primarily label based, but may also be used with a boolean array.

So if True(a boolan) is in the list it will get that row or rows.

import pandas as pd

df = pd.DataFrame([[1, 2], [4, 5], [7, 8]],
     index=['cobra', 'viper', 'sidewinder'],
     columns=['max_speed', 'shield'])

>>> df
            max_speed  shield
cobra               1       2
viper               4       5
sidewinder          7       8

>>> df.loc[[False, True, True]]
            max_speed  shield
viper               4       5
sidewinder          7       8

>>> # Same as
>>> df.loc[['viper', 'sidewinder']]
            max_speed  shield
viper               4       5
sidewinder          7       8