我正在尝试使用Rpy2来研究如何使用Rpy2在Bioconductor中进行经典基因表达example，并且我在开始时就卡住了。你如何加载数据？在R中我们做：
> library('ALL')
> library('limma')
> data('ALL')
在Python中我们做：
>>> import rpy2.robjects as robjects
>>> from rpy2.robjects.packages import importr
>>> base = importr('base')
>>> ALL = importr('ALL')
如何做Python的等价物：
> data('ALL') ??
我没有看到在扩展文档中加载包数据的示例。我认为这可能是它，但似乎数据不是正确的类，因为它在signature "character"被提供时featureNames：
>>> data = robjects.r('data(ALL)')
>>> data.rclass
<rpy2.rinterface.SexpVector - Python:0x1004b3828 / R:0x10376d558>
>>> featureNames = robjects.r('featureNames')
>>> featureNames(data)
Error in function (classes, fdef, mtable) :
unable to find an inherited method for function "featureNames", for signature "character"
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/2.6/site-packages/rpy2-2.2.2dev_20110818-py2.6-macosx-10.6-universal.egg/rpy2/robjects/functions.py", line 82, in __call__
return super(SignatureTranslatedFunction, self).__call__(*args, **kwargs)
File "/Library/Python/2.6/site-packages/rpy2-2.2.2dev_20110818-py2.6-macosx-10.6-universal.egg/rpy2/robjects/functions.py", line 34, in __call__
res = super(Function, self).__call__(*new_args, **new_kwargs)
rpy2.rinterface.RRuntimeError: Error in function (classes, fdef, mtable) :
unable to find an inherited method for function "featureNames", for signature "character"
更新：我想我现在拥有它：
>>> import rpy2.robjects as robjects
>>> from rpy2.robjects.packages import importr
>>> base = importr('base')
>>> ALL = importr('ALL')
>>> data = robjects.r('data(ALL)')
>>> data.rclass
<rpy2.rinterface.SexpVector - Python:0x258b190 / R:0xdf86c8>
>>> data = robjects.globalenv['ALL']
>>> data
<RS4 - Python:0x2591490 / R:0x29a2134>
>>> data.rclass
<rpy2.rinterface.SexpVector - Python:0x258b3b0 / R:0xdf85c8>
>>> featureNames = robjects.r('featureNames')
>>> featureNames(data)
<StrVector - Python:0x23e4f08 / R:0x304fc00>
['1000..., '1001..., '1002..., ..., 'AFFX..., 'AFFX..., 'AFFX...]
>>> exprs = robjects.r['exprs']
>>> e = exprs(data)
>>> e
<Matrix - Python:0x23b2da0 / R:0x84d8000>
[7.597323, 5.046194, 3.900466, ..., 3.095670, 3.342961, 3.842535]
>>>