added some mlab imports back to pylab

svn path=/trunk/matplotlib/; revision=4223

Author: jdh2358

API_CHANGES

@@ -1,4 +1,3 @@
-    Moved mlab.csv2rec -> recutils.csv2rec
 
     Added ax kwarg to pyplot.colorbar and Figure.colorbar so that
     one can specify the axes object from which space for the colorbar

Makefile

@@ -1,6 +1,6 @@
 # Makefile for matplotlib
 
-PYTHON = /usr/bin/python2.5
+PYTHON = `which python`
 VERSION = `${PYTHON} setup.py --version`
 
 DISTFILES = API_CHANGES KNOWN_BUGS INSTALL README TODO license	\
@@ -12,11 +12,11 @@ RELEASE = matplotlib-${VERSION}
 
 clean: 
 	${PYTHON} setup.py clean;\
-	rm -f *.png *.ps *.eps *.svg *.jpg
+	rm -f *.png *.ps *.eps *.svg *.jpg *.pdf
 	find . -name "_tmp*.py" | xargs rm -f;\
 	find . \( -name "*~" -o -name "*.pyc" \) | xargs rm -f;\
-	find examples \( -name "*.svg" -o -name "*.png" -o -name "*.ps"  -o -name "*.eps" -o -name "*.tar" -o  -name "*.gz" -o -name "*.log" -o -name "*.aux" -o -name "*.tex" \) | xargs rm -f
-	find unit \( -name "*.png" -o -name "*.ps"  -o -name "*.eps" \) | xargs rm -f
+	find examples \( -name "*.svg" C-o -name "*.png" -o -name "*.pdf" -o -name "*.ps"  -o -name "*.eps" -o -name "*.tar" -o  -name "*.gz" -o -name "*.log" -o -name "*.aux" -o -name "*.tex" \) | xargs rm -f
+	find unit \( -name "*.png" -o -name "*.ps"  -o -name "*.pdf" -o -name "*.eps" \) | xargs rm -f
 	find . \( -name "#*" -o -name ".#*" -o -name ".*~" -o -name "*~" \) | xargs rm -f
 
 

lib/matplotlib/axes.py

@@ -4798,6 +4798,39 @@ def table(self, **kwargs):
         return mtable.table(self, **kwargs)
     table.__doc__ = cbook.dedent(table.__doc__) % martist.kwdocd
 
+    def twinx(self):
+        """
+        ax = twinx()
+
+        create a twin of Axes for generating a plot with a sharex
+        x-axis but independent y axis.  The y-axis of self will have
+        ticks on left and the returned axes will have ticks on the
+        right
+        """
+
+        ax2 = self.figure.add_axes(self.get_position(), sharex=self, frameon=False)
+        ax2.yaxis.tick_right()
+        ax2.yaxis.set_label_position('right')
+        self.yaxis.tick_left()
+        return ax2
+
+    def twiny(self):
+        """
+        ax = twiny()
+
+        create a twin of Axes for generating a plot with a shared
+        y-axis but independent x axis.  The x-axis of self will have
+        ticks on bottom and the returned axes will have ticks on the
+        top
+        """
+        
+        ax2 = self.figure.add_axes(self.get_position(), sharey=self, frameon=False)
+        ax2.xaxis.tick_top()
+        ax2.xaxis.set_label_position('top')
+        self.xaxis.tick_bottom()
+        return ax2
+    
+
     #### Data analysis
 
 

lib/matplotlib/mlab.py

@@ -442,8 +442,9 @@ def corrcoef(*args):
     kw = dict(rowvar=False)
     return npy.corrcoef(*args, **kw)
 
-def polyfit(x,y,N):
+def polyfit(*args, **kwargs):
     """
+    def polyfit(x,y,N)
 
     Do a best fit polynomial of order N of y to x.  Return value is a
     vector of polynomial coefficients [pk ... p1 p0].  Eg, for N=2
@@ -480,21 +481,13 @@ def polyfit(x,y,N):
     See also polyval
 
     """
-    x = npy.asarray(x, dtype=npy.float_)
-    #y = npy.asarray(y, dtype=npy.float_)
-    #y.shape = (len(y),1)
-    #X = npy.matrix(npy.vander(x, N+1))
-    #Xt = npy.matrix(X.transpose())
-    #c = npy.array(npy.linalg.inv(Xt*X)*Xt*y)  # convert back to array
-    #c.shape = (N+1,)
-    #return c
-    X = npy.vander(x, N+1)
-    return npy.linalg.lstsq(X, y)[0]
+    warnings.warn("use numpy.poyfit", DeprecationWarning)
+    return npy.polyfit(*args, **kw)
 
 
 
 
-def polyval(p,x):
+def polyval(*args, **kwargs):
     """
     y = polyval(p,x)
 
@@ -510,14 +503,11 @@ def polyval(p,x):
     See also polyfit
 
     """
-    x = npy.asarray(x, dtype=npy.float_)
-    p = npy.asarray(p, dtype=npy.float_).reshape((len(p),1))
-    X = npy.vander(x,len(p))
-    y =  npy.dot(X,p)
-    return y.reshape(x.shape)
+    warnings.warn("use numpy.polyval", DeprecationWarning)
+    return npy.polyval(*args, **kw)
 
 
-def vander(x,N=None):
+def vander(*args, **kwargs):
     """
     X = vander(x,N=None)
 
@@ -527,7 +517,7 @@ def vander(x,N=None):
 
     """
     warnings.warn("Use numpy.vander()", DeprecationWarning)
-    return npy.vander(x, N)
+    return npy.vander(*args, **kwargs)
 
 
 def donothing_callback(*args):
@@ -1262,20 +1252,31 @@ def load(fname,comments='#',delimiter=None, converters=None,skiprows=0,
     fh = cbook.to_filehandle(fname)
     X = []
 
+    if delimiter==' ':
+        # space splitting is a special case since x.split() is what
+        # you want, not x.split(' ')
+        def splitfunc(x):
+            return x.split()
+    else:
+        def splitfunc(x):
+            return x.split(delimiter)
+
+            
+        
     converterseq = None
     for i,line in enumerate(fh):
         if i<skiprows: continue
         line = line.split(comments, 1)[0].strip()
         if not len(line): continue
         if converterseq is None:
             converterseq = [converters.get(j,float)
-                               for j,val in enumerate(line.split(delimiter))]
+                               for j,val in enumerate(splitfunc(line))]
         if usecols is not None:
             vals = line.split(delimiter)
             row = [converterseq[j](vals[j]) for j in usecols]
         else:
             row = [converterseq[j](val)
-                      for j,val in enumerate(line.split(delimiter))]
+                      for j,val in enumerate(splitfunc(line))]
         thisLen = len(row)
         X.append(row)
 
@@ -2281,7 +2282,7 @@ def __init__(self, precision=4):
         FormatFloat.__init__(self, precision, scale=1e-6)
 
 
-class FormatDate(FormatString):
+class FormatDate(FormatObj):
     def __init__(self, fmt):
         self.fmt = fmt
 
@@ -2301,7 +2302,7 @@ def __init__(self, fmt='%Y-%m-%d %H:%M:%S'):
     npy.float32 : FormatFloat(),
     npy.float64 : FormatFloat(),        
     npy.object_ : FormatObj(),
-    npy.string_ : FormatString(),        
+    npy.string_ : FormatObj(),        
     }
 
 def get_formatd(r, formatd=None):
@@ -2658,15 +2659,21 @@ def foreach(model, path, iter, selected):
 
 
 
-    def rec2gtk(r, formatd=None, rownum=0):
+    def rec2gtk(r, formatd=None, rownum=0, autowin=True):
         """
         save record array r to excel pyExcelerator worksheet ws
         starting at rownum.  if ws is string like, assume it is a
         filename and save to it
 
         formatd is a dictionary mapping dtype name -> FormatXL instances
 
-        The next rownum after writing is returned
+        This function creates a SortedStringsScrolledWindow (derived
+        from gtk.ScrolledWindow) and returns it.  if autowin is True,
+        a gtk.Window is created, attached to the
+        SortedStringsScrolledWindow instance, shown and returned.  If
+        autowin=False, the caller is responsible for adding the
+        SortedStringsScrolledWindow instance to a gtk widget and
+        showing it.
         """
 
 
@@ -2692,6 +2699,14 @@ def rec2gtk(r, formatd=None, rownum=0):
         for row in r:
             scroll.add_row(row)
 
+
+        if autowin:
+            win = gtk.Window()
+            win.set_default_size(800,600)
+            win.add(scroll)
+            win.show_all()
+            scroll.win = win
+            
         return scroll
 
 

lib/matplotlib/pylab.py

@@ -249,6 +249,19 @@
 from numpy.random import *
 from numpy.linalg import *
 
+from matplotlib.mlab import load, window_hanning, window_none, conv, detrend, demean, \
+     detrend_mean, detrend_none, detrend_linear, entropy, normpdf, levypdf, \
+     find, longest_contiguous_ones, longest_ones, prepca, prctile, prctile_rank, \
+     center_matrix, rk4, bivariate_normal, get_xyz_where, get_sparse_matrix, dist, \
+     dist_point_to_segment, segments_intersect, fftsurr, liaupunov, movavg, \
+     save, load, slopes, stineman_interp, inside_poly, poly_below, poly_between, exp_safe, \
+     amap, rms_flat, l1norm, l2norm, norm_flat, frange, diagonal_matrix, identity, \
+     base_repr, binary_repr, log2, ispower2, fromfunction_kw, rem, norm, orth, rank, sqrtm,\
+     mfuncC, approx_real, rec_append_field, rec_drop_fields, rec_join, csv2rec, rec2csv
+
+
+     
+
 # old style--if True, override standard numpy with oldnumeric
 if False:
     from numpy.oldnumeric import array, zeros, shape, rank, size, fromstring,\

lib/matplotlib/pyplot.py

@@ -492,14 +492,8 @@ def twinx(ax=None):
     """
     if ax is None:
         ax=gca()
-
-
-    ax2 = gcf().add_axes(ax.get_position(), sharex=ax, frameon=False)
-    ax2.yaxis.tick_right()
-    ax2.yaxis.set_label_position('right')
-    ax.yaxis.tick_left()
     draw_if_interactive()
-    return ax2
+    return ax.twinx()
 
 
 def twiny(ax=None):
@@ -510,14 +504,8 @@ def twiny(ax=None):
     """
     if ax is None:
         ax=gca()
-
-
-    ax2 = gcf().add_axes(ax.get_position(), sharey=ax, frameon=False)
-    ax2.xaxis.tick_top()
-    ax2.xaxis.set_label_position('top')
-    ax.xaxis.tick_bottom()
     draw_if_interactive()
-    return ax2
+    return ax.twiny()