@@ -6,6 +6,8 @@
 
 import six
 
+import logging
+
 from matplotlib import rcParams
 import matplotlib.artist as artist
 from matplotlib.artist import allow_rasterization
@@ -22,6 +24,8 @@
 import numpy as np
 import warnings
 
+_log = logging.getLogger(__name__)
+
 GRIDLINE_INTERPOLATION_STEPS = 180
 
 
 
@@ -120,7 +120,6 @@
 
 import six
 from six.moves import zip
-from matplotlib import rcParams
 import re
 import time
 import math
@@ -129,20 +128,22 @@
 
 import warnings
 
-
 from dateutil.rrule import (rrule, MO, TU, WE, TH, FR, SA, SU, YEARLY,
                             MONTHLY, WEEKLY, DAILY, HOURLY, MINUTELY,
                             SECONDLY)
 from dateutil.relativedelta import relativedelta
 import dateutil.parser
+import logging
 import numpy as np
 
 
 import matplotlib
+from matplotlib import rcParams
 import matplotlib.units as units
 import matplotlib.cbook as cbook
 import matplotlib.ticker as ticker
 
+_log = logging.getLogger(__name__)
 
 __all__ = ('date2num', 'num2date', 'num2timedelta', 'drange', 'epoch2num',
            'num2epoch', 'mx2num', 'DateFormatter',
@@ -282,6 +283,11 @@ def _from_ordinalf(x, tz=None):
         tz = _get_rc_timezone()
 
     ix = int(x)
+    if ix < 1:
+        raise ValueError('cannot convert {} < 1 to a date.  This '
+                         'often happens if floats are passed to '
+                         'a Matplotlib axis that expects datetime objects. '
+                         ''.format(ix))
     dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
 
     remainder = float(x) - ix
@@ -941,7 +947,10 @@ def datalim_to_dt(self):
         dmin, dmax = self.axis.get_data_interval()
         if dmin > dmax:
             dmin, dmax = dmax, dmin
-
+        if dmin < 1:
+            raise ValueError('datalim minimum {} < 1. This often '
+                     'happens if you pass a float to an '
+                     'axis that has datetime units'.format(dmin))
         return num2date(dmin, self.tz), num2date(dmax, self.tz)
 
     def viewlim_to_dt(self):
@@ -951,7 +960,10 @@ def viewlim_to_dt(self):
         vmin, vmax = self.axis.get_view_interval()
         if vmin > vmax:
             vmin, vmax = vmax, vmin
-
+        if vmin < 1:
+            raise ValueError('view limit minimum {} < 1. This often '
+                             'happens if you pass a float to an '
+                             'axis that has datetime units'.format(vmin))
         return num2date(vmin, self.tz), num2date(vmax, self.tz)
 
     def _get_unit(self):