<div dir="ltr">Thanks! common_sets is what I wanted of course. Then fc.amplitudes().data() is comparable to fobs.data()<div><br></div><div>Cheers<br clear="all"><div><div dir="ltr" class="gmail_signature">-- David<br></div></div><br></div></div><br><div class="gmail_quote"><div dir="ltr">On Tue, 14 Aug 2018 at 11:54, <a href="mailto:Graeme.Winter@Diamond.ac.uk">Graeme.Winter@Diamond.ac.uk</a> <<a href="mailto:Graeme.Winter@diamond.ac.uk">Graeme.Winter@diamond.ac.uk</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">HI David<br>
<br>
dials/command_line/rfactor.py contains some useful hints - you want to work with miller arrays and common sets<br>
<br>
All the best Graeme<br>
<br>
<br>
<br>
> On 14 Aug 2018, at 11:37, David Waterman <<a href="mailto:dgwaterman@gmail.com" target="_blank">dgwaterman@gmail.com</a>> wrote:<br>
> <br>
> Hi all,<br>
> <br>
> I have a script that extracts Fobs and Fcalc from an MTZ file produced by Refmac for some analysis. I was just doing this in a trivial way:<br>
> <br>
> fobs = m.extract_reals("F").data<br>
> fc = m.extract_reals("FC_ALL").data<br>
> <br>
> and this worked fine, until I came across a file with missing observations, so that the lengths of fobs and fc do not match.<br>
> <br>
> Can anybody advise a better way to do this please? I'm inexperienced with iotbx.mtz. I don't need anything other than the values of the structure factors, but I need each element of fobs and fc to contain the equivalent values.<br>
> <br>
> Thanks<br>
> <br>
> -- David<br>
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