Avoid .base

Author: jbrockmendel

pandas/_libs/tslibs/conversion.pyx

@@ -877,7 +877,7 @@ def tz_localize_to_utc(ndarray[int64_t] vals, object tz, object ambiguous=None,
         for i in range(n):
             v = vals[i]
             result[i] = _tz_convert_tzlocal_utc(v, tz, to_utc=True)
-        return result.base  # `.base` to access underlying np.array
+        return np.asarray(result)
 
     if is_string_object(ambiguous):
         if ambiguous == 'infer':
@@ -1031,7 +1031,7 @@ def tz_localize_to_utc(ndarray[int64_t] vals, object tz, object ambiguous=None,
                 stamp = _render_tstamp(val)
                 raise pytz.NonExistentTimeError(stamp)
 
-    return result.base  # `.base` to access underlying np.array
+    return np.asarray(result)
 
 
 cdef inline bisect_right_i8(int64_t *data, int64_t val, Py_ssize_t n):
@@ -1133,7 +1133,7 @@ def normalize_i8_timestamps(int64_t[:] stamps, object tz=None):
                 dt64_to_dtstruct(stamps[i], &dts)
                 result[i] = _normalized_stamp(&dts)
 
-    return result.base  # .base to access underlying np.ndarray
+    return np.asarray(result)
 
 
 @cython.wraparound(False)

pandas/_libs/tslibs/fields.pyx

@@ -132,7 +132,7 @@ def get_date_name_field(int64_t[:] dtindex, object field, object locale=None):
     else:
         raise ValueError("Field {field} not supported".format(field=field))
 
-    return out.base  # `.base` to access underlying np.array
+    return np.asarray(out)
 
 
 @cython.wraparound(False)
@@ -376,7 +376,7 @@ def get_start_end_field(int64_t[:] dtindex, object field,
     else:
         raise ValueError("Field {field} not supported".format(field=field))
 
-    return out.base.view(bool)  # `.base` to access underlying np.array
+    return np.asarray(out).view(bool)
 
 
 @cython.wraparound(False)
@@ -529,9 +529,9 @@ def get_date_field(int64_t[:] dtindex, object field):
         return isleapyear_arr(get_date_field(dtindex, 'Y'))
 
     else:
-        raise ValueError("Field %s not supported" % field)
+        raise ValueError("Field {field} not supported".format(field=field))
 
-    return out.base  # `.base` to access underlying np.array
+    return np.asarray(out)
 
 
 @cython.wraparound(False)
@@ -642,7 +642,7 @@ def get_timedelta_field(int64_t[:] tdindex, object field):
     else:
         raise ValueError("Field {field} not supported".format(field=field))
 
-    return out.base  # `.base` to access underlying np.array
+    return np.asarray(out)
 
 
 cpdef isleapyear_arr(ndarray years):