Commits

Sergio Pascual committed a35fcc0

README is rst text now

  • Participants
  • Parent commits 401df4d

Comments (0)

Files changed (2)

+======================================
+Matching catalogues using Groth method
+======================================
+
+A Pattern-Matching Algorithm for Two-Dimensional Coordinate Lists
+Eduard J. Groth 1986 AJ 19, 5
+
+http://adsabs.harvard.edu/abs/1986AJ.....91.1244G
+
+Gmatch is released under the GPL (version 3 or any later version)
+
+
+Sample usage
+------------
+
+    >>> from gmatch import gmatch
+    >>> # load cat1 and cat2 from somewhere
+    >>> # they are numpy arrays
+    >>> # N rows, 2 columns
+    >>> cat1.shape
+    (20, 2)
+    >>> cat2.shape
+    (20, 2)
+    >>> matches = gmatch(cat1, cat2, eps=1e-3)
+    >>> # eps is the *relative* tolerance in xy
+    >>> matches
+    None
+    >>> # if the return value is None, the catalogues
+    >>> # do not match
+
+
+    >>> from gmatch import gmatch
+    >>> # load cat1 and cat2 from somewhere
+    >>> # they are numpy arrays
+    >>> matches = gmatch(cat1, cat2, eps=1e-3)
+    >>> # eps is the *relative* tolerance in xy
+    >>> if matches:
+    ...     matches[0]
+    ...     matches[1]
+    >>> # if the return value is not None
+    >>> # then is a tuple
+    >>> # first element matched objects in cat1
+    >>> # second element matched objects in cat2
+
+

README.txt

-======================================
-Matching catalogues using Groth method
-======================================
-
-A Pattern-Matching Algorithm for Two-Dimensional Coordinate Lists
-Eduard J. Groth 1986 AJ 19, 5
-
-http://adsabs.harvard.edu/abs/1986AJ.....91.1244G
-
-Gmatch is released under the GPL (version 3 or any later version)
-
-
-Sample usage
-------------
-
-    >>> from gmatch import gmatch
-    >>> # load cat1 and cat2 from somewhere
-    >>> # they are numpy arrays
-    >>> # N rows, 2 columns
-    >>> cat1.shape
-    (20, 2)
-    >>> cat2.shape
-    (20, 2)
-    >>> matches = gmatch(cat1, cat2, eps=1e-3)
-    >>> # eps is the *relative* tolerance in xy
-    >>> matches
-    None
-    >>> # if the return value is None, the catalogues
-    >>> # do not match
-
-
-    >>> from gmatch import gmatch
-    >>> # load cat1 and cat2 from somewhere
-    >>> # they are numpy arrays
-    >>> matches = gmatch(cat1, cat2, eps=1e-3)
-    >>> # eps is the *relative* tolerance in xy
-    >>> if matches:
-    ...     matches[0]
-    ...     matches[1]
-    >>> # if the return value is not None
-    >>> # then is a tuple
-    >>> # first element matched objects in cat1
-    >>> # second element matched objects in cat2
-
-