BUG: DataFrame.first_valid_index() fails if there is no valid entry.

doc/source/whatsnew/v0.21.0.txt

@@ -399,6 +399,7 @@ Indexing
 - Bug in ``CategoricalIndex`` reindexing in which specified indices containing duplicates were not being respected (:issue:`17323`)
 - Bug in intersection of ``RangeIndex`` with negative step (:issue:`17296`)
 - Bug in ``IntervalIndex`` where performing a scalar lookup fails for included right endpoints of non-overlapping monotonic decreasing indexes (:issue:`16417`, :issue:`17271`)
+- Bug in :meth:`DataFrame.first_valid_index` and :meth:`DataFrame.last_valid_index` when no valid entry (:issue:`17400`)
 
 I/O
 ^^^

pandas/core/frame.py

@@ -4069,23 +4069,27 @@ def update(self, other, join='left', overwrite=True, filter_func=None,
     # ----------------------------------------------------------------------
     # Misc methods
 
+    def _get_valid_indices(self):
+        is_valid = self.count(1) > 0
+        return self.index[is_valid]
+
+    @Appender(_shared_docs['valid_index'] % {
+        'position': 'first', 'klass': 'DataFrame'})
     def first_valid_index(self):
-        """
-        Return label for first non-NA/null value
-        """
         if len(self) == 0:
             return None
 
-        return self.index[self.count(1) > 0][0]
+        valid_indices = self._get_valid_indices()
+        return valid_indices[0] if len(valid_indices) else None
 
+    @Appender(_shared_docs['valid_index'] % {
+        'position': 'first', 'klass': 'DataFrame'})
     def last_valid_index(self):
-        """
-        Return label for last non-NA/null value
-        """
         if len(self) == 0:
             return None
 
-        return self.index[self.count(1) > 0][-1]
+        valid_indices = self._get_valid_indices()
+        return valid_indices[-1] if len(valid_indices) else None
 
     # ----------------------------------------------------------------------
     # Data reshaping

pandas/core/generic.py

@@ -6763,6 +6763,22 @@ def transform(self, func, *args, **kwargs):
 
         cls.transform = transform
 
+    # ----------------------------------------------------------------------
+    # Misc methods
+
+    _shared_docs['valid_index'] = """
+        Return index for %(position)s non-NA/null value.
+
+        Notes
+        --------
+        If all elements are non-NA/null, returns None.
+        Also returns None for empty %(klass)s.
+
+        Returns
+        --------
+        scalar : type of index
+        """
+
 
 def _doc_parms(cls):
     """Return a tuple of the doc parms."""

pandas/core/series.py

@@ -2838,10 +2838,9 @@ def dropna(self, axis=0, inplace=False, **kwargs):
     valid = lambda self, inplace=False, **kwargs: self.dropna(inplace=inplace,
                                                               **kwargs)
 
+    @Appender(generic._shared_docs['valid_index'] % {
+        'position': 'first', 'klass': 'Series'})
     def first_valid_index(self):
-        """
-        Return label for first non-NA/null value
-        """
         if len(self) == 0:
             return None
 
@@ -2852,10 +2851,9 @@ def first_valid_index(self):
         else:
             return self.index[i]
 
+    @Appender(generic._shared_docs['valid_index'] % {
+        'position': 'last', 'klass': 'Series'})
     def last_valid_index(self):
-        """
-        Return label for last non-NA/null value
-        """
         if len(self) == 0:
             return None
 

pandas/tests/frame/test_timeseries.py

@@ -440,6 +440,11 @@ def test_first_last_valid(self):
         assert empty.last_valid_index() is None
         assert empty.first_valid_index() is None
 
+        # GH17400: no valid entries
+        frame[:] = nan
+        assert frame.last_valid_index() is None
+        assert frame.first_valid_index() is None
+
     def test_at_time_frame(self):
         rng = date_range('1/1/2000', '1/5/2000', freq='5min')
         ts = DataFrame(np.random.randn(len(rng), 2), index=rng)