future warnings

Author: max-sixty

xarray/conventions.py

@@ -351,7 +351,7 @@ def ensure_dtype_not_object(var, name=None):
                 fill_value = u''
             else:
                 # insist on using float for numeric values
-                if not np.issubdtype(inferred_dtype, float):
+                if not np.issubdtype(inferred_dtype, np.floating):
                     inferred_dtype = np.dtype(float)
                 fill_value = inferred_dtype.type(np.nan)
 

xarray/core/dtypes.py

@@ -20,13 +20,13 @@ def maybe_promote(dtype):
     fill_value : Valid missing value for the promoted dtype.
     """
     # N.B. these casting rules should match pandas
-    if np.issubdtype(dtype, float):
+    if np.issubdtype(dtype, np.floating):
         fill_value = np.nan
-    elif np.issubdtype(dtype, int):
+    elif np.issubdtype(dtype, np.signedinteger):
         # convert to floating point so NaN is valid
         dtype = float
         fill_value = np.nan
-    elif np.issubdtype(dtype, complex):
+    elif np.issubdtype(dtype, np.complexfloating):
         fill_value = np.nan + np.nan * 1j
     elif np.issubdtype(dtype, np.datetime64):
         fill_value = np.datetime64('NaT')

xarray/core/indexing.py

@@ -874,7 +874,7 @@ def __array__(self, dtype=None):
         if isinstance(array, pd.PeriodIndex):
             with suppress(AttributeError):
                 # this might not be public API
-                array = array.asobject
+                array = array.astype('object')
         return np.asarray(array.values, dtype=dtype)
 
     @property