update release notes

README.rst

@@ -84,11 +84,11 @@ Install
 **Requirements**:
 
 - python 2.7   
-- numpy 1.7 
+- numpy (tested with 1.7, 1.8, 1.9, 1.10.1)
 
 **Optional**:
 
-- netCDF4 1.0.8 (netCDF archiving) (see notes below)
+- netCDF4 (tested with 1.0.8, 1.2.1) (netCDF archiving) (see notes below)
 - matplotlib 1.1 (plotting)
 - pandas 0.11 (interface with pandas)
 - cartopy 0.11 (dimarray.geo.crs)

release_notes_draft.md

@@ -1,5 +1,5 @@
-Release notes draft for 0.2
----------------------------
+Release notes draft for 0.2.0
+=============================
 - deprecated / removed:
     - `aggregate` (not useful)
     - `DimArray.groupby` (not really a multi-dimensional operation, alternative: dima.to_pandas().groupby(...) )
@@ -25,3 +25,20 @@ Release notes draft for 0.2
     - netCDF I/O rewritten, too, now relies on DatasetOnDisk, DimArrayOnDisk, AxisOnDisk, AxesOnDisk, AttrsOnDisk classes.
     - AbstractDimArray, AbstractDataset and AbstractAxis classes from which DimArray and DimArrayOnDisk derive
         ==> indexing and formatting unified
+- experimental:
+    - dimarray.geo.crs.get_crs() : returns an instance of a cartopy CRS class based on a dictionary of CF conventions
+    - dimarray.geo.transform() : transform and interpolate a dimarray from one coordinate system to another
+    - dimarray.geo.transform_array() : transform and interpolate two dimarrays 
+
+Temporary roadmap for future release(s)
+---------------------------------------
+Mostly, simplify and thin down the source code, make it more readable:
+- dataset : do not make it an instance of OrderedDict with management of axes copy/refs as it is now, but make it a new object.
+- simplify indexing in abstract classes (keep only orthogonal indexing, provide array index broadcasting as a separate function)
+- simplify axes definition (allow only a few possible methods, to reduce the amount of checks)
+- deprecate the dimarray.geo.GeoArray object, and flatten the sub-package for the user 
+  (everything accessible from dimarray.geo (not crs etc...))
+- review the library of functions provided, only keep the most useful ones
+- simplify the cascade of classes in the netCDF I/O part
+- remove the global option file?
+- improve unit tests to have less redundancy, more readability

setup.py

@@ -44,9 +44,9 @@ def run_tests(self):
 # Track version after pandas' setup.py
 #
 MAJOR = 0
-MINOR = 1
-MICRO = 9
-ISRELEASED = False
+MINOR = 2
+MICRO = 0
+ISRELEASED = True
 VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO)
 QUALIFIER = ''