按照这里的例子
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.
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))
我明白了
Length Class Mode
[1,] 25 -none- list
[2,] 25 -none- list
[3,] 25 -none- list
..
但是在R中也一样
data <- read.csv ("dell.csv",header=TRUE,sep=",")
print (summary(data))
给我正确的摘要信息.
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 …