Python 基于其他列的值在pandas中创建新列？

更具可读性的方法是创建遮罩

mask1 = df_s['team'] == 'BOS'
mask2 = df_s['shot_distance'] >= 23
mask3 = df_s['result'] == 'made'

df_s.loc[(mask1 & mask2 & mask3), 'makes'] = 1
df_s.loc[(~mask1 | ~mask2 | ~mask3), 'makes'] = 0
df_s.fillna(0, inplace=True)

>>> df['filter'] = (df['a'] >= 20) & (df['b'] >= 20)

    a   b   c filter
0   1  50   1  False
1  10  60  30  False
2  20  55   1   True
3   3   0   0  False
4  10   0   0  False

mask1 = df_s['team'] == 'BOS'
mask2 = df_s['shot_distance'] >= 23
mask3 = df_s['result'] == 'made'

df_s.loc[(mask1 & mask2 & mask3), 'makes'] = 1
df_s.loc[(~mask1 | ~mask2 | ~mask3), 'makes'] = 0
df_s.fillna(0, inplace=True)