Merge pull request #29 from fau-klue/v0.2.6

force np.vectorize to return float
fau-klue · Oct 15, 2022 · dd0e46b · dd0e46b
2 parents 9b63105 + 195d621
commit dd0e46b
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diff --git a/association_measures/measures.py b/association_measures/measures.py
@@ -360,7 +360,7 @@ def get_poisson_ci_boundary(alpha, O11, R1, O21, R2):
     return boundary
 
 
-BOUNDARY = np.vectorize(get_poisson_ci_boundary)
+BOUNDARY = np.vectorize(get_poisson_ci_boundary, otypes=[float])
 
 
 def conservative_log_ratio(df, disc=.5, alpha=.001, boundary='normal',

diff --git a/association_measures/version.py b/association_measures/version.py
@@ -2,5 +2,5 @@
 Association measures are mathematical formulae that interpret cooccurrence frequency data.
 """
 
-VERSION = (0, 2, 5)
+VERSION = (0, 2, 6)
 __version__ = '.'.join(map(str, VERSION))