使用rpy2.robjects.packages.data,如rpy2 introduction所示:
>>> from rpy2.robjects.packages import importr, data
>>> maptools = importr('maptools')
>>> spatial_df_r = data(maptools).fetch('wrld_simpl')['wrld_simpl']
>>> spatial_df_r
<rpy2.robjects.methods.RS4 object at 0x7ffa932b0cc0> [RTYPES.S4SXP]
R classes: ('SpatialPolygonsDataFrame',)
您似乎还试图将数据转换为pandas.DataFrame。小问题是数据不是数据框,而是SpatialPolygonsDataFrame 对象。但是,您可以将其转换为正确的data.frame:
>>> base = importr('base')
>>> df_r = base.as_data_frame(spatial_df_r)
>>> tuple(df_r.rclass)
('data.frame',)
然后到pandas DataFrame:
from rpy2.robjects import conversion
from rpy2.robjects import default_converter, pandas2ri
with conversion.localconverter(default_converter + pandas2ri.converter):
df = conversion.rpy2py(df_r)
df 现在是 pandas DataFrame:
>>> type(df)
<class 'pandas.core.frame.DataFrame'>
但是,如果您使用的是 Jupyter,则可以使用 rpy2 魔术的 -o 选项更轻松地完成转换,请参阅:using rpy2 in notebooks 和 rpy2.ipython.rmagic。