BUG: BoolBlock shouldn't replace truthy values

Author: cpcloud

doc/source/v0.14.1.txt

@@ -77,3 +77,5 @@ Bug Fixes
   sign were being treated as temporaries attempting to be deleted
   (:issue:`7300`).
 - Bug in ``Float64Index`` which didn't allow duplicates (:issue:`7149`).
+- Bug in ``DataFrame.replace()`` where truthy values were being replaced
+  (:issue:`7140`).

pandas/core/internals.py

@@ -3,18 +3,17 @@
 import re
 import operator
 from datetime import datetime, timedelta
-from collections import defaultdict, deque
+from collections import defaultdict
 
 import numpy as np
 from pandas.core.base import PandasObject
 
-from pandas.hashtable import Factorizer
-from pandas.core.common import (_possibly_downcast_to_dtype, isnull, notnull,
+from pandas.core.common import (_possibly_downcast_to_dtype, isnull,
                                 _NS_DTYPE, _TD_DTYPE, ABCSeries, is_list_like,
                                 ABCSparseSeries, _infer_dtype_from_scalar,
                                 _is_null_datelike_scalar,
                                 is_timedelta64_dtype, is_datetime64_dtype,)
-from pandas.core.index import Index, Int64Index, MultiIndex, _ensure_index
+from pandas.core.index import Index, MultiIndex, _ensure_index
 from pandas.core.indexing import (_maybe_convert_indices, _length_of_indexer)
 import pandas.core.common as com
 from pandas.sparse.array import _maybe_to_sparse, SparseArray
@@ -25,12 +24,10 @@
 
 from pandas.tslib import Timestamp
 from pandas import compat
-from pandas.compat import (range, lrange, lmap, callable, map, zip, u,
-                           OrderedDict)
+from pandas.compat import range, map, zip, u
 from pandas.tseries.timedeltas import _coerce_scalar_to_timedelta_type
 
 
-
 from pandas.lib import BlockPlacement
 
 
@@ -1020,6 +1017,7 @@ def equals(self, other):
         left, right = self.values, other.values
         return ((left == right) | (np.isnan(left) & np.isnan(right))).all()
 
+
 class FloatBlock(FloatOrComplexBlock):
     __slots__ = ()
     is_float = True
@@ -1212,7 +1210,7 @@ def replace(self, to_replace, value, inplace=False, filter=None,
                 regex=False):
         to_replace_values = np.atleast_1d(to_replace)
         if not np.can_cast(to_replace_values, bool):
-            to_replace = to_replace_values
+            return self
         return super(BoolBlock, self).replace(to_replace, value,
                                               inplace=inplace, filter=filter,
                                               regex=regex)

pandas/tests/test_frame.py

@@ -8351,6 +8351,12 @@ def test_replace_with_dict_with_bool_keys(self):
         with tm.assertRaisesRegexp(TypeError, 'Cannot compare types .+'):
             df.replace({'asdf': 'asdb', True: 'yes'})
 
+    def test_replace_truthy(self):
+        df = DataFrame({'a': [True, True]})
+        r = df.replace([np.inf, -np.inf], np.nan)
+        e = df
+        tm.assert_frame_equal(r, e)
+
     def test_replace_int_to_int_chain(self):
         df = DataFrame({'a': lrange(1, 5)})
         with tm.assertRaisesRegexp(ValueError, "Replacement not allowed .+"):

pandas/tests/test_internals.py

@@ -4,7 +4,7 @@
 import numpy as np
 
 from pandas import Index, MultiIndex, DataFrame, Series
-from pandas.compat import OrderedDict
+from pandas.compat import OrderedDict, lrange
 from pandas.sparse.array import SparseArray
 from pandas.core.internals import *
 import pandas.core.internals as internals
@@ -835,8 +835,6 @@ def assert_reindex_indexer_is_ok(mgr, axis, new_labels, indexer,
     # reindex_indexer(new_labels, indexer, axis)
 
 
-
-
 class TestBlockPlacement(tm.TestCase):
     _multiprocess_can_split_ = True