Changeset 1101

Timestamp:

08/02/06 09:35:30 (18 years ago)

Author:

mar637

Message:

added default legend font size; added proper raise for wrong argument; fixed bug in set_range/slice indexing; added user defined fonts and sizes ( Ticket #56 )

File:

• trunk/python/asapplotter.py (modified) (12 diffs)

trunk/python/asapplotter.py

@@ -38 +38 @@
         self._selection = selector()
         self._hist = rcParams['plotter.histogram']
+        from matplotlib import rc as mplrc
+        mplrc('legend',fontsize=8)
 
     def _translate(self, instr):
@@ -72 +74 @@
         from asap import scantable
         if not self._data and not scan:
-            print "please provide a scantable to plot"
+            msg = "Input is not a scantable"
+            if rcParams['verbose']:
+                print msg
+                return
+            raise TypeError(msg)
         if isinstance(scan, scantable):
             if self._data is not None:
@@ -181 +187 @@
         return
 
-    def set_legend(self, mp=None, mode = 0):
+    def set_legend(self, mp=None, fontsize = None, mode = 0):
         """
         Specify a mapping for the legend instead of using the default
         indices:
         Parameters:
-            mp:    a list of 'strings'. This should have the same length
-                    as the number of elements on the legend and then maps
-                    to the indeces in order. It is possible to uses latex
-                    math expression. These have to be enclosed in r'', e.g. r'$x^{2}$'
-            mode:   where to display the legend
-                    Any other value for loc else disables the legend:
+            mp:        a list of 'strings'. This should have the same length
+                       as the number of elements on the legend and then maps
+                       to the indeces in order. It is possible to uses latex
+                       math expression. These have to be enclosed in r'',
+                       e.g. r'$x^{2}$'
+            fontsize:  The font size of the label (default None)
+            mode:      where to display the legend
+                       Any other value for loc else disables the legend:
                         0: auto
                         1: upper right
@@ -214 +222 @@
         self._lmap = mp
         self._plotter.legend(mode)
+        if isinstance(fontsize, int):
+            from matplotlib import rc as rcp
+            rcp('legend', fontsize=fontsize)
         if self._data:
             self.plot(self._data)
         return
 
-    def set_title(self, title=None):
+    def set_title(self, title=None, fontsize=None):
         """
         Set the title of the plot. If multiple panels are plotted,
@@ -227 +238 @@
         """
         self._title = title
-        if self._data: self.plot(self._data)
-        return
-
-    def set_ordinate(self, ordinate=None):
+        if isinstance(fontsize, int):
+            from matplotlib import rc as rcp
+            rcp('axes', titlesize=fontsize)
+        if self._data: self.plot(self._data)
+        return
+
+    def set_ordinate(self, ordinate=None, fontsize=None):
         """
         Set the y-axis label of the plot. If multiple panels are plotted,
@@ -242 +256 @@
         """
         self._ordinate = ordinate
-        if self._data: self.plot(self._data)
-        return
-
-    def set_abcissa(self, abcissa=None):
+        if isinstance(fontsize, int):
+            from matplotlib import rc as rcp
+            rcp('axes', labelsize=fontsize)
+            rcp('ytick', labelsize=fontsize)
+        if self._data: self.plot(self._data)
+        return
+
+    def set_abcissa(self, abcissa=None, fontsize=None):
         """
         Set the x-axis label of the plot. If multiple panels are plotted,
@@ -257 +275 @@
         """
         self._abcissa = abcissa
+        if isinstance(fontsize, int):
+            from matplotlib import rc as rcp
+            rcp('axes', labelsize=fontsize)
+            rcp('xtick', labelsize=fontsize)
         if self._data: self.plot(self._data)
         return
@@ -277 +299 @@
         if self._data: self.plot(self._data)
 
-    def set_histogram(self, hist=True):
+    def set_histogram(self, hist=True, linewidth=None):
         """
         Enable/Disable histogram-like plotting.
@@ -286 +308 @@
         """
         self._hist = hist
-        if self._data: self.plot(self._data)
-
-    def set_linestyles(self, linestyles):
+        if isinstance(linewidth, float) or isinstance(linewidth, int):
+            from matplotlib import rc as rcp
+            rcp('lines', linewidth=linewidth)
+        if self._data: self.plot(self._data)
+
+    def set_linestyles(self, linestyles=None, linewidth=None):
         """
         Set the linestyles to be used. The plotter will cycle through
@@ -309 +334 @@
             linestyles = linestyles.split()
         self._plotter.palette(color=0,linestyle=0,linestyles=linestyles)
+        if isinstance(linewidth, float) or isinstance(linewidth, int):
+            from matplotlib import rc as rcp
+            rcp('lines', linewidth=linewidth)
+        if self._data: self.plot(self._data)
+
+    def set_font(self, family=None, style=None, weight=None, size=None):
+        """
+        Set font properties.
+        Parameters:
+            family:    one of 'sans-serif', 'serif', 'cursive', 'fantasy', 'monospace'
+            style:     one of 'normal' (or 'roman'), 'italic'  or 'oblique'
+            weight:    one of 'normal or 'bold'
+            size:      the 'general' font size, individual elements can be adjusted
+                       seperately
+        """
+        from matplotlib import rc as rcp
+        if isinstance(family, str):
+            rcp('font', family=family)
+        if isinstance(style, str):
+            rcp('font', style=style)
+        if isinstance(weight, str):
+            rcp('font', weight=weight)
+        if isinstance(size, float) or isinstance(size, int):
+            rcp('font', size=size)
         if self._data: self.plot(self._data)
 
@@ -379 +428 @@
             inc = -1
         # find min index
-        while data[start] < mn:
+        while start > 0 and data[start] < mn:
             start+= inc
         # find max index
-        while data[end] > mx:
+        while end > 0 and data[end] > mx:
             end-=inc
-        end +=1
+        if end > 0: end +=1
         if start > end:
             return end,start
@@ -491 +540 @@
                 plotit = self._plotter.plot
                 if self._hist: plotit = self._plotter.hist
-                plotit(x,y)
+                if len(x) > 0: plotit(x,y)
                 xlim= self._minmaxx or [min(x),max(x)]
                 allxlim += xlim