Hi Anthony,

You can achieve this easily using the cctbx. I assume that your 3D grid of 
floating points is a numpy array - if so you will have to convert this to a 
cctbx "flex" array as shown in the simple example below. The cctbx can also has 
the functionality to write out xplor maps - if needed I can dig out an example 
for this too:

import numpy
from scitbx.array_family import flex
from iotbx.ccp4_map import write_ccp4_map
from cctbx import sgtbx
from cctbx import uctbx

a = numpy.random.rand(10,10,10)
b = flex.double(a.astype(numpy.float64))

write_ccp4_map(
  file_name="random.map",
  unit_cell=uctbx.unit_cell((1,1,1,90,90,90)),
  space_group=sgtbx.space_group_info("P1").group(),
  gridding_first=(0,0,0),
  gridding_last=tuple(b.all()),
  map_data=b,
  labels=flex.std_string(["iotbx.ccp4_map.tst"]))

Cheers,

Richard

On 8 Oct 2013, at 10:32, Anthony Bradley 
<[email protected]<mailto:[email protected]>>
 wrote:

Hi all,

I would like to write CCP4 or .xplor maps of a potential field I have derived 
myself.

I am using python and have a 3D grid of floating points. I would like to write 
these out as a ccp4 or .xplor map.

Does anybody have any suggestions of functions that might be able to help me 
with this?

Best wishes,

Anthony




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