我要计算这个从r相当于大熊猫:根据逻辑条件,R的子类等价物是什么?
df$received[df$gender == 'F']
在熊猫,如果我使用:
df['received'][df['gender'] == 'F']
这是行不通的。
或者,如果我尝试:
df['received'] & df['gender'] == 'F'
它给了我:unsupported operand type(s) for &: 'float' and 'bool'
我要计算这个从r相当于大熊猫:根据逻辑条件,R的子类等价物是什么?
df$received[df$gender == 'F']
在熊猫,如果我使用:
df['received'][df['gender'] == 'F']
这是行不通的。
或者,如果我尝试:
df['received'] & df['gender'] == 'F'
它给了我:unsupported operand type(s) for &: 'float' and 'bool'
看来你需要loc
与boolean indexing
:
df.loc[df['gender'] == 'F', 'received']
样品:
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
小号orry是否在'df.loc [df ['gender'] =='F','received']'之后? – EdChum
这被称为**逻辑索引** – smci