RMagic，IPython和摘要信息 [英] RMagic, IPython and Summary Information

问题描述

按照此处的示例

http://www.randalolson.com/2013/01/14/filling-in-pythons-gaps-in-statistics-packages-with- rmagic /

我在IPython笔记本中的不同数据集上尝试了相同的操作。

I tried the same on a different data set found here, in an IPython notebook.

https://github.com/burakbayramli/kod/blob/ master / delltest / dell.tgz

from pandas import *
orders = read_csv("dell.csv",sep=",")
%load_ext rmagic
%R -i orders print(summary(orders))

我得到

     Length Class  Mode
[1,] 25     -none- list
[2,] 25     -none- list
[3,] 25     -none- list
..

然而R

data <- read.csv ("dell.csv",header=TRUE,sep=",")
print (summary(data))

给我正确的摘要信息。

gives me the correct summary information.

      rank        per_customer_count total_total_amount    orderid     
 Min.   : 1.000   Min.   : 1.000     Min.   :    0.14   Min.   :    1  
 1st Qu.: 2.000   1st Qu.: 6.000     1st Qu.:  866.11   1st Qu.: 2964  
 Median : 4.000   Median : 8.000     Median : 1764.08   Median : 5980  
 Mean   : 4.997   Mean   : 9.426     Mean   : 2004.95   Mean   : 5987  
 3rd Qu.: 7.000   3rd Qu.:12.000     3rd Qu.: 2856.06   3rd Qu.: 9004  
 ...

任何想法？

推荐答案

我快速看了一下，似乎有很多情况下ipython magic
不是获得正确的转换。我必须与他们取得联系，关于rmagic和
更多的魔力。

I had a quick look and there appear to be a number of situations in which the ipython magic is not getting the conversion right. I have to get in touch with them regarding rmagic and more magic.

在此期间，你应该能够做出你需要进步的东西下面的代码片段：

In the meantime, you should be able to cook up what you need to progress from the snippet of code below:

import pandas
orders = pandas.read_csv("dell.csv", sep=",")
%load_ext rmagic

import rpy2.robjects
d = dict()
for i, (k,v) in enumerate(orders.iteritems()):
    print("%s (type: %s - %i/%i)" %(k, v.dtype.kind, i, orders.shape[1]))
    if v.dtype.kind == 'O':
      v = rpy2.robjects.vectors.StrVector(v)
    d[k] = rpy2.robjects.conversion.py2ri(v)
df = rpy2.robjects.DataFrame(d)

def print_rsummary(x):
    print(rpy2.robjects.baseenv['summary'](x))

print_rsummary(df)

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