基于逻辑条件的 R 的熊猫等价物是什么？

Question

我想计算从 r 到 pandas 的等价物：

df$received[df$gender == 'F']

在熊猫中，如果我使用：

df['received'][df['gender'] == 'F']

它不起作用。

或者如果我尝试：

df['received'] & df['gender'] == 'F'

它给了我：unsupported operand type(s) for &: 'float' and 'bool'

Answer 1

看来你需要loc 和boolean indexing：

df.loc[df['gender'] == 'F', 'received']

示例：

df = pd.DataFrame({'gender':['F','M','F'], 'received':[10,20,50]})
print (df)
  gender  received
0      F        10
1      M        20
2      F        50

print (df.loc[df['gender'] == 'F', 'received'])
0    10
2    50
Name: received, dtype: int64