source: branches/Release-1-fixes/python/asaplot.py@ 2018

"""
ASAP plotting class based on matplotlib.
"""

import sys
from re import match
import Tkinter as Tk

import matplotlib
matplotlib.use("TkAgg")

from matplotlib.backends import new_figure_manager, show
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, \
        FigureManagerTkAgg
from matplotlib.figure import Figure, Text
from matplotlib.font_manager import FontProperties
from matplotlib.numerix import sqrt
from matplotlib import rc, rcParams

# Force use of the newfangled toolbar.
matplotlib.rcParams['toolbar'] = 'toolbar2'

# Colour dictionary.
colours = {}

class ASAPlot:
    """
    ASAP plotting class based on matplotlib.
    """

    def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
        """
        Create a new instance of the ASAPlot plotting class.

        If rows < 1 then a separate call to set_panels() is required to define
        the panel layout; refer to the doctext for set_panels().
        """
        self.window = Tk.Tk()
        self.is_dead = False
        def dest_callback():
            self.is_dead = True
            self.window.destroy()

        self.window.protocol("WM_DELETE_WINDOW", dest_callback)

        self.figure = Figure(figsize=size, facecolor='#ddddee')
        self.canvas = FigureCanvasTkAgg(self.figure, master=self.window)
        self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

        # Simply instantiating this is enough to get a working toolbar.
        self.figmgr = FigureManagerTkAgg(self.canvas, 1, self.window)
        self.window.wm_title('ASAPlot graphics window')

        self.events = {'button_press':None,
                       'button_release':None,
                       'motion_notify':None}

        self.set_title(title)
        self.subplots = []
        if rows > 0:
            self.set_panels(rows, cols)


        # Set matplotlib default colour sequence.
        self.colours = [1, 'b', 'g', 'r', 'c', 'm', 'y', 'k']
        self.attributes = {}
        self.loc = 0

        matplotlib.interactive = True
        self.buffering = buffering

        self.canvas.show()


    def clear(self):
        """
        Delete all lines from the plot.  Line numbering will restart from 1.
        """

        for i in range(1,len(self.lines)+1):
           self.delete(i)
        self.axes.clear()
        self.colours[0] = 1
        self.lines = []


    def delete(self, numbers=None):
        """
        Delete the 0-relative line number, default is to delete the last.
        The remaining lines are NOT renumbered.
        """

        if numbers is None: numbers = [len(self.lines)-1]

        if not hasattr(numbers, '__iter__'):
            numbers = [numbers]

        for number in numbers:
            if 0 <= number < len(self.lines):
                if self.lines[number] is not None:
                    for line in self.lines[number]:
                        line.set_linestyle('None')
                        self.lines[number] = None
        self.show()        

    def get_line(self):
        """
        Get the current default line attributes.
        """
        return self.attributes


    def hist(self, x=None, y=None, fmt=None):
        """
        Plot a histogram.  N.B. the x values refer to the start of the
        histogram bin.

        fmt is the line style as in plot().
        """

        if x is None:
            if y is None: return
            x = range(0,len(y))

        if len(x) != len(y):
            return

        l2 = 2*len(x)
        x2 = range(0,l2)
        y2 = range(0,l2)

        for i in range(0,l2):
            x2[i] = x[i/2]

        y2[0] = 0
        for i in range(1,l2):
            y2[i] = y[(i-1)/2]

        self.plot(x2, y2, fmt)


    def hold(self, hold=True):
        """
        Buffer graphics until subsequently released.
        """
        self.buffering = hold


    def legend(self, loc=None):
        """
        Add a legend to the plot.

        Any other value for loc else disables the legend:
             1: upper right
             2: upper left
             3: lower left
             4: lower right
             5: right
             6: center left
             7: center right
             8: lower center
             9: upper center
            10: center

        """
        if isinstance(loc,int):
            if 0 > loc > 10: loc = 0
            self.loc = loc
        self.show()


    def map(self):
        """
        Reveal the ASAPlot graphics window and bring it to the top of the
        window stack.
        """
        self.window.wm_deiconify()
        self.window.lift()


    def palette(self, pen=None, colours=None):
        """
        Redefine the colour sequence.

        pen is the pen number to use for the next plot; this will be auto-
        incremented.

        colours is the list of pen colours.  Colour may be specified via
        the single letter values understood by matplotlib:

            b: blue
            g: green
            r: red
            c: cyan
            m: magenta
            y: yellow
            k: black
            w: white

        or via the full name as listed in the colour dictionary which is
        loaded by default by load_colours() from rgb.txt and listed by
        list_colours().
        """

        if pen is None and colours is None:
            self.colours = []
            return

        if pen is None:
            if not len(self.colours):
                self.colours = [1]
        else:
            self.colours[0] = pen

        if colours is None:
            return

        cols = []
        for col in colours:
            cols.append(get_colour(col))

        self.colours[1:] = cols

        if 0 > self.colours[0] > len(self.colours):
            self.colours[0] = 1


    def plot(self, x=None, y=None, mask=None, fmt=None, add=None):
        """
        Plot the next line in the current frame using the current line
        attributes.  The ASAPlot graphics window will be mapped and raised.

        The argument list works a bit like the matlab plot() function.
        """

        if x is None:
            if y is None: return
            x = range(len(y))

        elif y is None:
            y = x
            x = range(len(y))

        if mask is None:
            if fmt is None:
                line = self.axes.plot(x, y)
            else:
                line = self.axes.plot(x, y, fmt)
        else:
            segments = []

            mask = list(mask)
            i = 0
            while mask[i:].count(1):
                i += mask[i:].index(1)
                if mask[i:].count(0):
                    j = i + mask[i:].index(0)
                else:
                    j = len(mask)

                segments.append(x[i:j])
                segments.append(y[i:j])

                i = j

            line = self.axes.plot(*segments)

        # Add to an existing line?
        if add is None or len(self.lines) < add < 0:
            # Don't add.
            self.lines.append(line)
            i = len(self.lines) - 1
        else:
            if add == 0: add = len(self.lines)
            i = add - 1
            self.lines[i].extend(line)

        # Set/reset attributes for the line.
        gotcolour = False
        for k, v in self.attributes.iteritems():
            if k == 'color': gotcolour = True
            for segment in self.lines[i]:
                getattr(segment, "set_%s"%k)(v)

        if not gotcolour and len(self.colours):
            for segment in self.lines[i]:
                getattr(segment, "set_color")(self.colours[self.colours[0]])

            self.colours[0] += 1
            if self.colours[0] >= len(self.colours):
                self.colours[0] = 1

        self.show()


    def position(self):
        """
        Use the mouse to get a position from a graph.
        """

        def position_disable(event):
            self.register('button_press', None)
            print '%.4f, %.4f' % (event.xdata, event.ydata)

        print 'Press any mouse button...'
        self.register('button_press', position_disable)


    def quit(self):
        """
        Destroy the ASAPlot graphics window.
        """
        self.window.destroy()


    def region(self):
        """
        Use the mouse to get a rectangular region from a plot.

        The return value is [x0, y0, x1, y1] in world coordinates.
        """

        def region_start(event):
            height = self.canvas.figure.bbox.height()
            self.rect = {'fig': None, 'height': height,
                         'x': event.x, 'y': height - event.y,
                         'world': [event.xdata, event.ydata,
                                   event.xdata, event.ydata]}
            self.register('button_press', None)
            self.register('motion_notify', region_draw)
            self.register('button_release', region_disable)

        def region_draw(event):
            self.canvas._tkcanvas.delete(self.rect['fig'])
            self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
                                self.rect['x'], self.rect['y'],
                                event.x, self.rect['height'] - event.y)

        def region_disable(event):
            self.register('motion_notify', None)
            self.register('button_release', None)

            self.canvas._tkcanvas.delete(self.rect['fig'])

            self.rect['world'][2:4] = [event.xdata, event.ydata]
            print '(%.2f, %.2f)  (%.2f, %.2f)' % (self.rect['world'][0],
                self.rect['world'][1], self.rect['world'][2],
                self.rect['world'][3])

        self.register('button_press', region_start)

        # This has to be modified to block and return the result (currently
        # printed by region_disable) when that becomes possible in matplotlib.

        return [0.0, 0.0, 0.0, 0.0]


    def register(self, type=None, func=None):
        """
        Register, reregister, or deregister events of type 'button_press',
        'button_release', or 'motion_notify'.

        The specified callback function should have the following signature:

            def func(event)

        where event is an MplEvent instance containing the following data:

            name                # Event name.
            canvas              # FigureCanvas instance generating the event.
            x      = None       # x position - pixels from left of canvas.
            y      = None       # y position - pixels from bottom of canvas.
            button = None       # Button pressed: None, 1, 2, 3.
            key    = None       # Key pressed: None, chr(range(255)), shift,
                                  win, or control
            inaxes = None       # Axes instance if cursor within axes.
            xdata  = None       # x world coordinate.
            ydata  = None       # y world coordinate.

        For example:

            def mouse_move(event):
                print event.xdata, event.ydata

            a = asaplot()
            a.register('motion_notify', mouse_move)

        If func is None, the event is deregistered.

        Note that in TkAgg keyboard button presses don't generate an event.
        """

        if not self.events.has_key(type): return

        if func is None:
            if self.events[type] is not None:
                # It's not clear that this does anything.
                self.canvas.mpl_disconnect(self.events[type])
                self.events[type] = None

                # It seems to be necessary to return events to the toolbar.
                if type == 'motion_notify':
                    self.canvas.mpl_connect(type + '_event',
                        self.figmgr.toolbar.mouse_move)
                elif type == 'button_press':
                    self.canvas.mpl_connect(type + '_event',
                        self.figmgr.toolbar.press)
                elif type == 'button_release':
                    self.canvas.mpl_connect(type + '_event',
                        self.figmgr.toolbar.release)

        else:
            self.events[type] = self.canvas.mpl_connect(type + '_event', func)


    def release(self):
        """
        Release buffered graphics.
        """
        self.buffering = False
        self.show()


    def save(self, fname=None):
        """
        Save the plot to a file.

        fname is the name of the output file.  The image format is determined
        from the file suffix; 'png', 'ps', and 'eps' are recognized.  If no
        file name is specified 'yyyymmdd_hhmmss.png' is created in the current
        directory.
        """
        if fname is None:
            from datetime import datetime
            dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
            fname = 'asap'+dstr+'.png'

        d = ['png','.ps','eps']

        from os.path import expandvars
        fname = expandvars(fname)

        if fname[-3:].lower() in d:
            try:
                self.canvas.print_figure(fname)
                print 'Written file %s' % (fname)
            except IOError, msg:
                print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
                return
        else:
            print "Invalid image type. Valid types are:"
            print "ps, eps, png"


    def set_axes(self, what=None, *args, **kwargs):
        """
        Set attributes for the axes by calling the relevant Axes.set_*()
        method.  Colour translation is done as described in the doctext
        for palette().
        """

        if what is None: return
        if what[-6:] == 'colour': what = what[:-6] + 'color'

        newargs = {}
        for k, v in kwargs.iteritems():
            k = k.lower()
            if k == 'colour': k = 'color'

            if k == 'color':
                v = get_colour(v)

            newargs[k] = v

        getattr(self.axes, "set_%s"%what)(*args, **newargs)
        self.show()


    def set_figure(self, what=None, *args, **kwargs):
        """
        Set attributes for the figure by calling the relevant Figure.set_*()
        method.  Colour translation is done as described in the doctext
        for palette().
        """

        if what is None: return
        if what[-6:] == 'colour': what = what[:-6] + 'color'
        if what[-5:] == 'color' and len(args):
            args = (get_colour(args[0]),)

        newargs = {}
        for k, v in kwargs.iteritems():
            k = k.lower()
            if k == 'colour': k = 'color'

            if k == 'color':
                v = get_colour(v)

            newargs[k] = v

        getattr(self.figure, "set_%s"%what)(*args, **newargs)
        self.show()


    def set_limits(self, xlim=None, ylim=None):
        """
        Set x-, and y-limits for each subplot.

        xlim = [xmin, xmax] as in axes.set_xlim().
        ylim = [ymin, ymax] as in axes.set_ylim().
        """
        for s in self.subplots:
            self.axes  = s['axes']
            self.lines = s['lines']
            oldxlim =  list(self.axes.get_xlim())
            oldylim =  list(self.axes.get_ylim())
            if xlim is not None:
                for i in range(len(xlim)):
                    if xlim[i] is not None:
                        oldxlim[i] = xlim[i]
            if ylim is not None:                        
                for i in range(len(ylim)):
                    if ylim[i] is not None:
                        oldylim[i] = ylim[i]
            self.axes.set_xlim(oldxlim)
            self.axes.set_ylim(oldylim)
        return


    def set_line(self, number=None, **kwargs):
        """
        Set attributes for the specified line, or else the next line(s)
        to be plotted.

        number is the 0-relative number of a line that has already been
        plotted.  If no such line exists, attributes are recorded and used
        for the next line(s) to be plotted.

        Keyword arguments specify Line2D attributes, e.g. color='r'.  Do

            import matplotlib
            help(matplotlib.lines)

        The set_* methods of class Line2D define the attribute names and
        values.  For non-US usage, "colour" is recognized as synonymous with
        "color".

        Set the value to None to delete an attribute.

        Colour translation is done as described in the doctext for palette().
        """

        redraw = False
        for k, v in kwargs.iteritems():
            k = k.lower()
            if k == 'colour': k = 'color'

            if k == 'color':
                v = get_colour(v)

            if 0 <= number < len(self.lines):
                if self.lines[number] is not None:
                    for line in self.lines[number]:
                        getattr(line, "set_%s"%k)(v)
                    redraw = True
            else:
                if v is None:
                    del self.attributes[k]
                else:
                    self.attributes[k] = v

        if redraw: self.show()


    def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
        """
        Set the panel layout.

        rows and cols, if cols != 0, specify the number of rows and columns in
        a regular layout.   (Indexing of these panels in matplotlib is row-
        major, i.e. column varies fastest.)

        cols == 0 is interpreted as a retangular layout that accomodates
        'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
        rows == 2, cols == 3.

        0 <= n < rows*cols is interpreted as the 0-relative panel number in
        the configuration specified by rows and cols to be added to the
        current figure as its next 0-relative panel number (i).  This allows
        non-regular panel layouts to be constructed via multiple calls.  Any
        other value of n clears the plot and produces a rectangular array of
        empty panels.  The number of these may be limited by nplots.
        """
        if n < 0 and len(self.subplots):
            self.figure.clear()
            self.set_title()

        if rows < 1: rows = 1

        if cols <= 0:
            i = int(sqrt(rows))
            if i*i < rows: i += 1
            cols = i

            if i*(i-1) >= rows: i -= 1
            rows = i

        if 0 <= n < rows*cols:
            i = len(self.subplots)
            self.subplots.append({})

            self.subplots[i]['axes']  = self.figure.add_subplot(rows,
                                            cols, n+1)
            self.subplots[i]['lines'] = []

            if i == 0: self.subplot(0)

            self.rows = 0
            self.cols = 0

        else:
            self.subplots = []

            if nplots < 1 or rows*cols < nplots:
                nplots = rows*cols

            for i in range(nplots):
                self.subplots.append({})

                self.subplots[i]['axes']  = self.figure.add_subplot(rows,
                                                cols, i+1)
                self.subplots[i]['lines'] = []
                xfsize = self.subplots[i]['axes'].xaxis.label.get_size()-cols/2
                yfsize = self.subplots[i]['axes'].yaxis.label.get_size()-rows/2
                self.subplots[i]['axes'].xaxis.label.set_size(xfsize)
                self.subplots[i]['axes'].yaxis.label.set_size(yfsize)
                
                if ganged:
                    if rows > 1 or cols > 1:
                        # Squeeze the plots together.
                        pos = self.subplots[i]['axes'].get_position()
                        if cols > 1: pos[2] *= 1.2
                        if rows > 1: pos[3] *= 1.2
                        self.subplots[i]['axes'].set_position(pos)

                    # Suppress tick labelling for interior subplots.
                    if i <= (rows-1)*cols - 1:
                        if i+cols < nplots:
                            # Suppress x-labels for frames width
                            # adjacent frames
                            for tick in \
                                    self.subplots[i]['axes'].xaxis.majorTicks:
                                tick.label1On = False
                                self.subplots[i]['axes'].xaxis.label.set_visible(False)
                    if i%cols:
                        # Suppress y-labels for frames not in the left column.
                        for tick in self.subplots[i]['axes'].yaxis.majorTicks:
                            tick.label1On = False
                        self.subplots[i]['axes'].yaxis.label.set_visible(False)
                        

                self.rows = rows
                self.cols = cols

            self.subplot(0)

    def set_title(self, title=None):
        """
        Set the title of the plot window.  Use the previous title if title is
        omitted.
        """
        if title is not None:
            self.title = title

        self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')


    def show(self):
        """
        Show graphics dependent on the current buffering state.
        """
        if not self.buffering:
            if self.loc is not None:
                for j in range(len(self.subplots)):
                    lines  = []
                    labels = []
                    i = 0
                    for line in self.subplots[j]['lines']:
                        i += 1
                        if line is not None:
                            lines.append(line[0])
                            lbl = line[0].get_label()
                            if lbl == '':
                                lbl = str(i)
                            labels.append(lbl)

                    if len(lines):
                        self.subplots[j]['axes'].legend(tuple(lines),
                                                        tuple(labels),
                                                        self.loc)
                    else:
                        self.subplots[j]['axes'].legend((' '))

            self.window.wm_deiconify()
            self.canvas.show()

    def subplot(self, i=None, inc=None):
        """
        Set the subplot to the 0-relative panel number as defined by one or
        more invokations of set_panels().
        """
        l = len(self.subplots)
        if l:
            if i is not None:
                self.i = i

            if inc is not None:
                self.i += inc

            self.i %= l
            self.axes  = self.subplots[self.i]['axes']
            self.lines = self.subplots[self.i]['lines']


    def terminate(self):
        """
        Clear the figure.
        """
        self.window.destroy()


    def text(self, *args, **kwargs):
        """
        Add text to the figure.
        """
        self.figure.text(*args, **kwargs)
        self.show()


    def unmap(self):
        """
        Hide the ASAPlot graphics window.
        """
        self.window.wm_withdraw()


def get_colour(colour='black'):
    """
    Look up a colour by name in the colour dictionary.  Matches are
    case-insensitive, insensitive to blanks, and 'gray' matches 'grey'.
    """

    if colour is None: return None

    if match('[rgbcmykw]$', colour): return colour
    if match('#[\da-fA-F]{6}$', colour): return colour

    if len(colours) == 0: load_colours()

    # Try a quick match.
    if colours.has_key(colour): return colours[colour]

    colour = colour.replace(' ','').lower()
    colour = colour.replace('gray','grey')
    for name in colours.keys():
        if name.lower() == colour:
            return colours[name]

    return '#000000'


def list_colours():
    """
    List the contents of the colour dictionary sorted by name.
    """

    if len(colours) == 0: load_colours()

    names = colours.keys()
    names.sort()
    for name in names:
        print colours[name], name


def load_colours(filename='/usr/local/lib/rgb.txt'):
    """
    Load the colour dictionary from the specified file.
    """
    print 'Loading colour dictionary from', filename
    from os.path import expandvars
    filename = expandvars(filename)
    rgb = open(filename, 'r')

    while True:
        line = rgb.readline()
        if line == '': break
        tmp = line.split()

        if len(tmp) == 4:
            if tmp[3][:4] == 'gray': continue
            if tmp[3].lower().find('gray') != -1: continue

            name = tmp[3][0].upper() + tmp[3][1:]
            r, g, b = int(tmp[0]), int(tmp[1]), int(tmp[2])
            colours[name] = '#%2.2x%2.2x%2.2x' % (r, g, b)