PYTHON

loc pandas df

df.loc[df['shield'] > 35] = 0

pd.loc

>>> 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[['viper', 'sidewinder']]
            max_speed  shield
viper               4       5
sidewinder          7       8

df loc

df.loc['viper']

df loc

df.loc[:, 'max_speed'] = 30

pandas data.loc

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

pandas data.loc

df.loc['viper']
max_speed    4
shield       5

pandas data.loc

df.loc['cobra', 'shield']
2

pandas data.loc

df.loc['cobra':'viper', 'max_speed']
cobra    1
viper    4
Name: max_speed, dtype: int64

pandas data.loc

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

pandas data.loc

df.loc[pd.Series([False, True, False],
...        index=['viper', 'sidewinder', 'cobra'])]
            max_speed  shield
sidewinder          7       8