SciTools/iris — pull request #925 by rhattersley (2014-01-10 10:33:13+00:00)
Title: Fix pandas array order for numpy 1.7

NumPy 1.7 preserves C/Fortran-order when copying an array, but 1.6 always creates copies as C-order.

This change forces C-order when taking a copy, thus preserving the existing behaviour.

Fixes:
- iris.tests.test_pandas.TestDataFrameAsCube
- test_data_frame_datetime_gregorian
- test_data_frame_masked
- test_data_frame_netcdftime_360
- test_data_frame_nonotonic
- test_data_frame_simple