The following code is supposed to create a heatmap in rpy2
import numpy as np
from rpy2.robjects import r
data = np.random.random((10,10))
r.heatmap(data)
However, it results in the following error
Traceback (most recent call last):
File "z.py", line 8, in <module>
labRow=rowNames, labCol=colNames)
File "C:\Python25\lib\site-packages\rpy2\robjects\__init__.py", line 418, in __call__
new_args = [conversion.py2ri(a) for a in args]
File "C:\Python25\lib\site-packages\rpy2\robjects\__init__.py", line 93, in default_py2ri
raise(ValueError("Nothing can be done for the type %s at the moment." %(type(o))))
ValueError: Nothing can be done for the type <type 'numpy.ndarray'> at the moment.
From the documentation I learn that r.heatmap expects "a numeric matrix". How do I convert np.array to the required data type?
rpy2 will typically require an R version that is not much older than itself. This means that even if your system has R pre-installed, there is a chance that the version is too old to be compaible with rpy2. At the time of this writing, the latest rpy2 version is 2.8 and requires R 3.2 or higher.
rpy2 is an interface to R running embedded in a Python process. on Pypi. Questions and issues. Consider having a look at the documentation. Otherwise questions should preferably be asked on the rpy mailing-list on SourceForge, or on StackOverflow.
rpy2 provides an interface that allows you to run R in Python processes. Users can move between languages and use the best of both programming languages. Below, I walk you through how to call three powerful R packages from Python: stats, lme4, and ggplot2.
You need to add
import rpy2.robjects.numpy2ri
rpy2.robjects.numpy2ri.activate()
See more in rpy2 documentation numpy section (here for the older 2.x version)
Prior to 2.2.x the import alone was sufficient.
That import alone is sufficient to switch an automatic conversion of numpy objects into rpy2 objects.
Why make this an optional import, while it could have been included in the function py2ri() (as done in the original patch submitted for that function) ?
Although both are valid and reasonable options, the design decision was taken in order to decouple rpy2 from numpy the most, and do not assume that having numpy installed automatically meant that a programmer wanted to use it.
For rpy2 2.2.4 I had to add:
import rpy2.robjects.numpy2ri
rpy2.robjects.numpy2ri.activate()
For me (2.2.1) the following also worked (as documented on http://rpy.sourceforge.net/rpy2/doc-2.2/html/numpy.html):
import rpy2.robjects as ro
from rpy2.robjects.numpy2ri import numpy2ri
ro.conversion.py2ri = numpy2ri
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