Merge pull request matplotlib#15694 from anntzer/unfloat

Handle upcoming deprecation of np.float.

Author: QuLogic

lib/matplotlib/projections/polar.py

@@ -719,9 +719,7 @@ class _WedgeBbox(mtransforms.Bbox):
         Bbox determining the origin for the wedge, if different from *viewLim*
     """
     def __init__(self, center, viewLim, originLim, **kwargs):
-        mtransforms.Bbox.__init__(self,
-                                  np.array([[0.0, 0.0], [1.0, 1.0]], np.float),
-                                  **kwargs)
+        mtransforms.Bbox.__init__(self, [[0, 0], [1, 1]], **kwargs)
         self._center = center
         self._viewLim = viewLim
         self._originLim = originLim

lib/matplotlib/transforms.py

@@ -763,12 +763,12 @@ def invalidate(self):
     @staticmethod
     def unit():
         """Create a new unit `Bbox` from (0, 0) to (1, 1)."""
-        return Bbox(np.array([[0.0, 0.0], [1.0, 1.0]], float))
+        return Bbox([[0, 0], [1, 1]])
 
     @staticmethod
     def null():
         """Create a new null `Bbox` from (inf, inf) to (-inf, -inf)."""
-        return Bbox(np.array([[np.inf, np.inf], [-np.inf, -np.inf]], float))
+        return Bbox([[np.inf, np.inf], [-np.inf, -np.inf]])
 
     @staticmethod
     def from_bounds(x0, y0, width, height):
@@ -786,8 +786,7 @@ def from_extents(*args):
 
         The *y*-axis increases upwards.
         """
-        points = np.array(args, dtype=float).reshape(2, 2)
-        return Bbox(points)
+        return Bbox(np.reshape(args, (2, 2)))
 
     def __format__(self, fmt):
         return (

lib/matplotlib/units.py

@@ -155,9 +155,8 @@ def is_numlike(x):
 
 
 class DecimalConverter(ConversionInterface):
-    """
-    Converter for decimal.Decimal data to float.
-    """
+    """Converter for decimal.Decimal data to float."""
+
     @staticmethod
     def convert(value, unit, axis):
         """
@@ -172,13 +171,13 @@ def convert(value, unit, axis):
         """
         # If value is a Decimal
         if isinstance(value, Decimal):
-            return np.float(value)
+            return float(value)
         else:
             # assume x is a list of Decimal
             converter = np.asarray
             if isinstance(value, ma.MaskedArray):
                 converter = ma.asarray
-            return converter(value, dtype=np.float)
+            return converter(value, dtype=float)
 
     @staticmethod
     def axisinfo(unit, axis):