Question

简单的问题我想但是还没有找到答案。如何摆脱＆＃34; AsIs＆＃34;我的数据框上的class属性。它阻止write.dbf包中的foreign转换为dbf。我正在使用rpy2工作，但它确实可以使用R数据框而没有＆＃34; AsIs＆＃34;。我把完整的代码放在错误消息下面。 dbfs = write_dbf（r_dataframe）

Error in function (dataframe, file, factor2char = TRUE, max_nchar = 254)  : 
  data frame contains columns of unsupported class(es) AsIs

---------------------------------------------------------------------------
RRuntimeError                             Traceback (most recent call last)
<ipython-input-26-9072df63231a> in <module>()
----> 1 dbfs = write_dbf(r_dataframe)

/home/matthew/.virtualenvs/mypython/lib/python3.2/site-packages/rpy2-2.2.6dev_20120814-py3.2-linux-i686.egg/rpy2/robjects/functions.py in __call__(self, *args, **kwargs)
     80                 v = kwargs.pop(k)
     81                 kwargs[r_k] = v
---> 82         return super(SignatureTranslatedFunction, self).__call__(*args, **kwargs)

/home/matthew/.virtualenvs/mypython/lib/python3.2/site-packages/rpy2-2.2.6dev_20120814-py3.2-linux-i686.egg/rpy2/robjects/functions.py in __call__(self, *args, **kwargs)
     32         for k, v in kwargs.items():
     33             new_kwargs[k] = conversion.py2ri(v)
---> 34         res = super(Function, self).__call__(*new_args, **new_kwargs)
     35         res = conversion.ri2py(res)
     36         return res

RRuntimeError: Error in function (dataframe, file, factor2char = TRUE, max_nchar = 254)  : 
  data frame contains columns of unsupported class(es) AsIs

我正在使用python rpy2与R交谈。这不是问题所在，但这是我的代码。如果我使用R中没有＆＃34; AsIs＆＃34;的数据帧，write.dbf可以从Rpy2开始工作。

（蟒）

    df = DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C':[7,8,9]},index=["one", "two", "three"])  I am going from python pandas dataframe to and R datafram using 

    fore = importr("foreign")

    In [19]:

    r_dataframe = com.convert_to_r_dataframe(df)

    In [20]:

    print(type(r_dataframe))

    <class 'rpy2.robjects.vectors.DataFrame'>

    In [32]:

    r_dataframe

    Out[32]:

<DataFrame - Python:0xb3db8ac / R:0xc23ac50>
[IntVector, IntVector, IntVector]
  A: <class 'rpy2.robjects.vectors.IntVector'>
  <IntVector - Python:0xc1fb1ec / R:0xc23ac28>
[       1,        2,        3]
  B: <class 'rpy2.robjects.vectors.IntVector'>
  <IntVector - Python:0xc1fb36c / R:0xc23ac00>
[       4,        5,        6]
  C: <class 'rpy2.robjects.vectors.IntVector'>
  <IntVector - Python:0xc1fb4ec / R:0xc23abd8>
[       7,        8,        9]


    print(r_dataframe)

          A B C
    one   1 4 7
    two   2 5 8
    three 3 6 9

    In [25]:

    write_dbf =robjects.r("write.dbf")

    read_dbf = robjects.r("read.dbf")

    In [26]:

    dbfs = write_dbf(r_dataframe)

Error in function (dataframe, file, factor2char = TRUE, max_nchar = 254)  : 
  data frame contains columns of unsupported class(es) AsI

    dbfs = write_dbf(r_dataframe)

Answer 1

以下是我将如何摆脱AsIs类属性。请注意，我注意保留向量可能具有的任何其他类属性：

unAsIs <- function(X) {
    if("AsIs" %in% class(X)) {
        class(X) <- class(X)[-match("AsIs", class(X))]
    }
    X
}

## Show why the function is needed
a <- 1:10
b <- factor(1:10)

class(I(a))
# [1] "AsIs"
class(I(b))
# [1] "AsIs"   "factor"

## Show that the function reverses the effect of `I()`
identical(a, unAsIs(I(a)))
# [1] TRUE
identical(b, unAsIs(I(b)))
# [1] TRUE

摆脱“AsIs”类属性

1 个答案: