ENH: don't show boolean dtype, as it is implied

4 files changed, 11 insertions, 11 deletions

diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py
index ededb9dd0..59b54eb38 100644
--- a/numpy/lib/arraysetops.py
+++ b/numpy/lib/arraysetops.py
@@ -435,12 +435,12 @@ def in1d(ar1, ar2, assume_unique=False, invert=False):
     >>> states = [0, 2]
     >>> mask = np.in1d(test, states)
     >>> mask
-    array([ True, False,  True, False,  True], dtype=bool)
+    array([ True, False,  True, False,  True])
     >>> test[mask]
     array([0, 2, 0])
     >>> mask = np.in1d(test, states, invert=True)
     >>> mask
-    array([False,  True, False,  True, False], dtype=bool)
+    array([False,  True, False,  True, False])
     >>> test[mask]
     array([1, 5])
     """
@@ -546,13 +546,13 @@ def isin(element, test_elements, assume_unique=False, invert=False):
     >>> mask = np.isin(element, test_elements)
     >>> mask
     array([[ False,  True],
-           [ True,  False]], dtype=bool)
+           [ True,  False]])
     >>> element[mask]
     array([2, 4])
     >>> mask = np.isin(element, test_elements, invert=True)
     >>> mask
     array([[ True, False],
-           [ False, True]], dtype=bool)
+           [ False, True]])
     >>> element[mask]
     array([0, 6])
 
@@ -562,13 +562,13 @@ def isin(element, test_elements, assume_unique=False, invert=False):
     >>> test_set = {1, 2, 4, 8}
     >>> np.isin(element, test_set)
     array([[ False, False],
-           [ False, False]], dtype=bool)
+           [ False, False]])
 
     Casting the set to a list gives the expected result:
 
     >>> np.isin(element, list(test_set))
     array([[ False,  True],
-           [ True,  False]], dtype=bool)
+           [ True,  False]])
     """
     element = np.asarray(element)
     return in1d(element, test_elements, assume_unique=assume_unique,
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 498853d32..c9a23350d 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -2333,7 +2333,7 @@ def extract(condition, arr):
     >>> condition
     array([[ True, False, False,  True],
            [False, False,  True, False],
-           [False,  True, False, False]], dtype=bool)
+           [False,  True, False, False]])
     >>> np.extract(condition, arr)
     array([0, 3, 6, 9])
 
diff --git a/numpy/lib/type_check.py b/numpy/lib/type_check.py
index e6aae8ddd..5c7528d4f 100644
--- a/numpy/lib/type_check.py
+++ b/numpy/lib/type_check.py
@@ -208,7 +208,7 @@ def iscomplex(x):
     Examples
     --------
     >>> np.iscomplex([1+1j, 1+0j, 4.5, 3, 2, 2j])
-    array([ True, False, False, False, False,  True], dtype=bool)
+    array([ True, False, False, False, False,  True])
 
     """
     ax = asanyarray(x)
@@ -242,7 +242,7 @@ def isreal(x):
     Examples
     --------
     >>> np.isreal([1+1j, 1+0j, 4.5, 3, 2, 2j])
-    array([False,  True,  True,  True,  True, False], dtype=bool)
+    array([False,  True,  True,  True,  True, False])
 
     """
     return imag(x) == 0
diff --git a/numpy/lib/ufunclike.py b/numpy/lib/ufunclike.py
index ad7c85e59..e0bd95182 100644
--- a/numpy/lib/ufunclike.py
+++ b/numpy/lib/ufunclike.py
@@ -128,7 +128,7 @@ def isposinf(x, out=None):
     >>> np.isposinf(np.NINF)
     array(False, dtype=bool)
     >>> np.isposinf([-np.inf, 0., np.inf])
-    array([False, False,  True], dtype=bool)
+    array([False, False,  True])
 
     >>> x = np.array([-np.inf, 0., np.inf])
     >>> y = np.array([2, 2, 2])
@@ -189,7 +189,7 @@ def isneginf(x, out=None):
     >>> np.isneginf(np.PINF)
     array(False, dtype=bool)
     >>> np.isneginf([-np.inf, 0., np.inf])
-    array([ True, False, False], dtype=bool)
+    array([ True, False, False])
 
     >>> x = np.array([-np.inf, 0., np.inf])
     >>> y = np.array([2, 2, 2])