matplotlib
diff --git a/‎examples/images_contours_and_fields/irregulardatagrid.py
Copy file name to clipboardExpand all lines: examples/images_contours_and_fields/irregulardatagrid.py
+4-4Lines changed: 4 additions & 4 deletions b/‎examples/images_contours_and_fields/irregulardatagrid.py
Copy file name to clipboardExpand all lines: examples/images_contours_and_fields/irregulardatagrid.py
+4-4Lines changed: 4 additions & 4 deletions
@@ -57,8 +57,8 @@
 #zi = griddata((x, y), z, (xi[None,:], yi[:,None]), method='linear')
 
 
-ax1.contour(xi, yi, zi, 14, linewidths=0.5, colors='k')
-cntr1 = ax1.contourf(xi, yi, zi, 14, cmap="RdBu_r")
+ax1.contour(xi, yi, zi, levels=14, linewidths=0.5, colors='k')
+cntr1 = ax1.contourf(xi, yi, zi, levels=14, cmap="RdBu_r")
 
 fig.colorbar(cntr1, ax=ax1)
 ax1.plot(x, y, 'ko', ms=3)
@@ -73,8 +73,8 @@
 # Directly supply the unordered, irregularly spaced coordinates
 # to tricontour.
 
-ax2.tricontour(x, y, z, 14, linewidths=0.5, colors='k')
-cntr2 = ax2.tricontourf(x, y, z, 14, cmap="RdBu_r")
+ax2.tricontour(x, y, z, levels=14, linewidths=0.5, colors='k')
+cntr2 = ax2.tricontourf(x, y, z, levels=14, cmap="RdBu_r")
 
 fig.colorbar(cntr2, ax=ax2)
 ax2.plot(x, y, 'ko', ms=3)