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))

However, it results in the following error

Traceback (most recent call last):
  File "", line 8, in <module>
    labRow=rowNames, labCol=colNames)
  File "C:\Python25\lib\site-packages\rpy2\robjects\", line 418, in __call__
    new_args = [conversion.py2ri(a) for a in args]
  File "C:\Python25\lib\site-packages\rpy2\robjects\", 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?

You need to add

import rpy2.robjects.numpy2ri

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

For rpy2 2.2.4 I had to add:

import rpy2.robjects.numpy2ri

For me (2.2.1) the following also worked (as documented on

import rpy2.robjects as ro
from rpy2.robjects.numpy2ri import numpy2ri
ro.conversion.py2ri = numpy2ri