[英]Using the rPython package for creating and “getting” a numpy array
I am trying to create a Rpackage that uses some python in it, in an attempt to better understand the rPython package I tried creating and getting back a Numpy Array: 我正在尝试创建一个在其中使用某些python的Rpackage,以更好地了解我尝试创建并取回一个Numpy数组的rPython软件包:
library(rPython)
python.exec( "import os" )
python.exec( "import numpy as np" )
X = c(0.5, 0.2, 0.2)
python.exec(paste("X0 = np.array([", do.call(paste, c(as.list(X), sep =",")), "])"))
But when I try to get back the array it gives me an error: 但是,当我尝试取回数组时,它给了我一个错误:
python.get("X0")
get me 得到我
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/usr/lib/python2.7/json/__init__.py", line 244, in dumps
return _default_encoder.encode(obj)
File "/usr/lib/python2.7/json/encoder.py", line 207, in encode
chunks = self.iterencode(o, _one_shot=True)
File "/usr/lib/python2.7/json/encoder.py", line 270, in iterencode
return _iterencode(o, 0)
File "/usr/lib/python2.7/json/encoder.py", line 184, in default
raise TypeError(repr(o) + " is not JSON serializable")
TypeError: array([0.5, 0.2, 0.2]) is not JSON serializable TypeError:array([0.5,0.2,0.2])不可序列化JSON
Any idea of what I am doing wrong? 任何我做错事的想法吗?
You need to convert your numpy array to a json serializable object. 您需要将numpy数组转换为json可序列化对象。 This can be done using the tolist() method.
这可以使用tolist()方法完成。 Witness:
见证人:
>>> X0 = np.array([0,0])
>>> import json
>>> X0.tolist()
[0, 0]
>>> json.dumps(X0.tolist())
'[0, 0]'
Hope that helps. 希望能有所帮助。
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