zeros_like(x) + y -> full_like(x, y)

Author: anntzer

examples/statistics/errorbar_limits.py

@@ -52,7 +52,7 @@
 # Plot a series with lower and upper limits in both x & y
 # constant x-error with varying y-error
 xerr = 0.2
-yerr = np.zeros_like(x) + 0.2
+yerr = np.full_like(x, 0.2)
 yerr[[3, 6]] = 0.3
 
 # mock up some limits by modifying previous data

lib/matplotlib/tests/test_axes.py

@@ -2949,7 +2949,7 @@ def test_errorbar_limits():
 
     # including xlower and xupper limits
     xerr = 0.2
-    yerr = np.zeros_like(x) + 0.2
+    yerr = np.full_like(x, 0.2)
     yerr[[3, 6]] = 0.3
     xlolims = lolims
     xuplims = uplims

lib/mpl_toolkits/axisartist/grid_finder.py

@@ -125,9 +125,9 @@ def _get_raw_grid_lines(self,
         lons_i = np.linspace(lon_min, lon_max, 100)  # for interpolation
         lats_i = np.linspace(lat_min, lat_max, 100)
 
-        lon_lines = [self.transform_xy(np.zeros_like(lats_i) + lon, lats_i)
+        lon_lines = [self.transform_xy(np.full_like(lats_i, lon), lats_i)
                      for lon in lon_values]
-        lat_lines = [self.transform_xy(lons_i, np.zeros_like(lons_i) + lat)
+        lat_lines = [self.transform_xy(lons_i, np.full_like(lons_i, lat))
                      for lat in lat_values]
 
         return lon_lines, lat_lines