v1.4.1: use explicit floating point widths, thus fixing a bug. (#53)

* v1.4.1: use explicit floating point widths, thus fixing a bug. * mention v1.4.1 also in README
cta-observatory · Sep 14, 2018 · 32d125b · 32d125b
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diff --git a/README.md b/README.md
@@ -250,7 +250,7 @@ You do not have to use a [conda environment](https://conda.io/docs/user-guide/ta
 
 ### Linux / OSX (with anaconda)
 
-    pip install https://github.com/cta-sst-1m/protozfitsreader/archive/v1.4.0.tar.gz
+    pip install https://github.com/cta-sst-1m/protozfitsreader/archive/v1.4.1.tar.gz
 
 ### Most common issues and possible remedies
 
@@ -263,7 +263,7 @@ Try uninstalling conda-protobuf and reinstalling from pypi, like this:
 
     conda uninstall protobuf --yes
     pip install protobuf
-    
+
 ### Miniconda & Faster installation?
 
 If you use **Ana**conda this is not interesting for you, but if you use **Mini**conda,

diff --git a/protozfits/VERSION b/protozfits/VERSION
@@ -1 +1 @@
-1.4.0
+1.4.1
diff --git a/protozfits/any_array_to_numpy.py b/protozfits/any_array_to_numpy.py
@@ -11,8 +11,8 @@ def any_array_to_numpy(any_array):
         6: np.uint32,
         7: np.int64,
         8: np.uint64,
-        9: np.float,
-        10: np.double,
+        9: np.float32,
+        10: np.float64,
     }
     if any_array.type == 0:
         if any_array.data: