什么是相当于R的熊猫基于逻辑条件获取子集？

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

您似乎需要loc与boolean indexing：

outerbag = load 'file location ' using PigStorage(',') as (eid,edetails);
innerbag = FOREACH outerbag GENERATE eid, FLATTEN(STRSPLIT(edetails,'\t'));
dump innerbag;

样品：

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