added support for mincnt to hexbin

svn path=/trunk/matplotlib/; revision=6699

Author: jdh2358

lib/matplotlib/axes.py

@@ -5212,7 +5212,7 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
                     xscale = 'linear', yscale = 'linear',
                     cmap=None, norm=None, vmin=None, vmax=None,
                     alpha=1.0, linewidths=None, edgecolors='none',
-                    reduce_C_function = np.mean,
+                    reduce_C_function = np.mean, mincnt=None,
                     **kwargs):
         """
         call signature::
@@ -5221,7 +5221,7 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
                  xscale = 'linear', yscale = 'linear',
                  cmap=None, norm=None, vmin=None, vmax=None,
                  alpha=1.0, linewidths=None, edgecolors='none'
-                 reduce_C_function = np.mean,
+                 reduce_C_function = np.mean, mincnt=None,
                  **kwargs)
 
         Make a hexagonal binning plot of *x* versus *y*, where *x*,
@@ -5269,6 +5269,10 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
           *scale*: [ 'linear' | 'log' ]
             Use a linear or log10 scale on the vertical axis.
 
+          *mincnt*: None | a positive integer
+            If not None, only display cells with at least *mincnt*
+            number of points in the cell
+
         Other keyword arguments controlling color mapping and normalization
         arguments:
 
@@ -5369,6 +5373,8 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
         d1 = (x-ix1)**2 + 3.0 * (y-iy1)**2
         d2 = (x-ix2-0.5)**2 + 3.0 * (y-iy2-0.5)**2
         bdist = (d1<d2)
+        if mincnt is None:
+            mincnt = 0
 
         if C is None:
             accum = np.zeros(n)
@@ -5400,10 +5406,11 @@ def hexbin(self, x, y, C = None, gridsize = 100, bins = None,
                 else:
                     lattice2[ix2[i], iy2[i]].append( C[i] )
 
+
             for i in xrange(nx1):
                 for j in xrange(ny1):
                     vals = lattice1[i,j]
-                    if len(vals):
+                    if len(vals)>mincnt:
                         lattice1[i,j] = reduce_C_function( vals )
                     else:
                         lattice1[i,j] = np.nan

release/osx/Makefile

@@ -95,7 +95,7 @@ upload:
 	rm -rf upload &&\
 	mkdir upload &&\
 	cp matplotlib-${MPLVERSION}.tar.gz upload/ &&\
-	cp matplotlib-${MPLVERSION}/dist/matplotlib-${MPLVERSION}_r0-py2.5-macosx-10.3-fat.egg upload/matplotlib-${MPLVERSION}-py2.5.egg &&\
+	cp matplotlib-${MPLVERSION}/dist/matplotlib-${MPLVERSION}_r0-py2.5-macosx-10.3-fat.egg upload/matplotlib-${MPLVERSION}-macosx-py2.5.egg &&\
 	cp matplotlib-${MPLVERSION}/dist/matplotlib-${MPLVERSION}-py2.5-macosx10.5.zip upload/matplotlib-${MPLVERSION}-py2.5-mpkg.zip&&\
 	scp upload/* jdh2358@frs.sourceforge.net:uploads/