Python 将高维R数据集加载到数据帧中

有些很容易：

import pandas.rpy.common as com
infert = com.load_data('infert')
print(infert.head())

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只要R数据集的维度使用@joran的非常有用的建议，在安装了

重塑

包之后，这似乎是可行的

% sudo R
R> install.packages('reshape')

我成功地将

Titanic

数据集加载到熊猫数据框中，其中包含：

import pandas as pd
import pandas.rpy.common as com
import rpy2.robjects as ro

r = ro.r
r('library(reshape)')
df = com.convert_robj(r('melt(Titanic)'))
print(df.head())

哪个印刷品

  Class     Sex    Age Survived  value
1   1st    Male  Child       No      0
2   2nd    Male  Child       No      0
3   3rd    Male  Child       No     35
4  Crew    Male  Child       No      0
5   1st  Female  Child       No      0

使用，

pandas.rpy.common.load_data

可以加载更高维的数据集，例如

Titanic

：

import pandas.rpy.common as com
df = com.load_data('Titanic')
print(df.head())

屈服

  Survived    Age     Sex Class value
0       No  Child    Male   1st   0.0
1       No  Child    Male   2nd   0.0
2       No  Child    Male   3rd  35.0
3       No  Child    Male  Crew   0.0
4       No  Child  Female   1st   0.0

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先在R中融化它，然后加载它…？@joran:谢谢你，我认为这很有效！很高兴它起作用了。仅供参考，重塑是旧版本。可能值得改用整形2。
  Survived    Age     Sex Class value
0       No  Child    Male   1st   0.0
1       No  Child    Male   2nd   0.0
2       No  Child    Male   3rd  35.0
3       No  Child    Male  Crew   0.0
4       No  Child  Female   1st   0.0