Fix warnings

pingouin/distribution.py

@@ -457,16 +457,16 @@ def anderson(*args, dist="norm"):
     (True, 15.0)
     """
     k = len(args)
-    from_dist = np.zeros(k, "bool")
+    from_dist = np.zeros(k, dtype="bool")
     sig_level = np.zeros(k)
     for j in range(k):
         st, cr, sig = scipy.stats.anderson(args[j], dist=dist)
         from_dist[j] = True if (st < cr).any() else False
         sig_level[j] = sig[np.argmin(np.abs(st - cr))]
 
     if k == 1:
-        from_dist = bool(from_dist)
-        sig_level = float(sig_level)
+        from_dist = from_dist[0]
+        sig_level = sig_level[0]
     return from_dist, sig_level
 
 

pingouin/tests/test_correlation.py

@@ -109,7 +109,7 @@ def test_corr(self):
         # Compare BF10 with JASP
         df = read_dataset("pairwise_corr")
         stats = corr(df["Neuroticism"], df["Extraversion"])
-        assert np.isclose(1 / float(stats["BF10"].to_numpy()), 1.478e-13)
+        assert np.isclose(1 / float(stats.at["pearson", "BF10"]), 1.478e-13)
         # Perfect correlation, CI and power should be 1, BF should be Inf
         # https://github.com/raphaelvallat/pingouin/issues/195
         stats = corr(x, x)

pingouin/tests/test_distribution.py

@@ -201,5 +201,5 @@ def test_sphericity(self):
 
     def test_anderson(self):
         """Test function test_anderson."""
-        assert anderson(np.random.random(size=1000))[0] is False
-        assert anderson(np.random.normal(size=10000))[0] is True
+        assert not anderson(np.random.random(size=1000))[0]
+        assert anderson(np.random.normal(size=10000))[0]

setup.cfg

@@ -36,7 +36,6 @@ statistics=True
 [coverage:run]
 branch = True
 source = pingouin
-include = */pingouin/*
 omit =
     */setup.py
     */examples/*