whs: fixed failing test due to numpy/pandas version upgrade

Author: wsavran

tests/test_JmaCsvCatalog.py

@@ -40,11 +40,11 @@ def test_JmaCsvCatalog_loading():
     # assert (d[0].timestamp() * 1000.) == c.observed_catalog['timestamp'][0]
 
     _datetimes = numpy.ndarray(test_catalog.event_count, dtype='<i8')
-    _datetimes.fill(numpy.nan)
+    # _datetimes.fill(numpy.nan)
 
     for _idx, _val in enumerate(_dummy):
         _datetimes[_idx] = round(1000. * _val.timestamp())
 
     numpy.testing.assert_allclose(_datetimes, test_catalog.catalog['origin_time'],
                                   err_msg='timestamp mismatch',
-                                  verbose=True, rtol=0, atol=0)
+                                  verbose=True, rtol=0, atol=0)