#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2019 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#############################################################################*/
__author__ = "V.A. Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__doc__ = """
This module can be used for plugin testing purposes as well as for doing
the bookkeeping of actual plot windows.

Functions to be implemented by an actual plotter can be found in the
abstract class PlotBackend.

"""
import math
import sys
import numpy
from . import PlotBase
from . import PlotBackend
from . import Colors

import logging
import traceback
_logger = logging.getLogger(__name__)

DEBUG = 0
if DEBUG:
    PlotBase.DEBUG = True
    _logger.setLevel(logging.DEBUG)

_COLORDICT =  Colors.COLORDICT
_COLORLIST = [_COLORDICT['black'],
              _COLORDICT['blue'],
              _COLORDICT['red'],
              _COLORDICT['green'],
              _COLORDICT['pink'],
              _COLORDICT['yellow'],
              _COLORDICT['brown'],
              _COLORDICT['cyan'],
              _COLORDICT['magenta'],
              _COLORDICT['orange'],
              _COLORDICT['violet'],
              #_COLORDICT['bluegreen'],
              _COLORDICT['grey'],
              _COLORDICT['darkBlue'],
              _COLORDICT['darkRed'],
              _COLORDICT['darkGreen'],
              _COLORDICT['darkCyan'],
              _COLORDICT['darkMagenta'],
              _COLORDICT['darkYellow'],
              _COLORDICT['darkBrown']]

#
#Matplotlib symbols:
#"." 	point
#"," 	pixel
#"o" 	circle
#"v" 	triangle_down
#"^" 	triangle_up
#"<" 	triangle_left
#">" 	triangle_right
#"1" 	tri_down
#"2" 	tri_up
#"3" 	tri_left
#"4" 	tri_right
#"8" 	octagon
#"s" 	square
#"p" 	pentagon
#"*" 	star
#"h" 	hexagon1
#"H" 	hexagon2
#"+" 	plus
#"x" 	x
#"D" 	diamond
#"d" 	thin_diamond
#"|" 	vline
#"_" 	hline
#"None" 	nothing
#None 	nothing
#" " 	nothing
#"" 	nothing
#

DEFAULT_BACKEND = "matplotlib"

class Plot(PlotBase.PlotBase):
    PLUGINS_DIR = None
    # give the possibility to set the default backend for all instances
    # via a class attribute.
    defaultBackend = DEFAULT_BACKEND

    colorList = _COLORLIST
    colorDict = _COLORDICT

    def __init__(self, parent=None, backend=None, callback=None):
        self._parent = parent
        if backend is None:
            backend = Plot.defaultBackend
            self._default = True
        else:
            self._default = False
        if hasattr(backend, "__call__"):
            # to be called
            self._plot = backend(parent)
        elif isinstance(backend, PlotBackend.PlotBackend):
            self._plot = backend
        elif hasattr(backend, "lower"):
            lowerCaseString = backend.lower()
            if lowerCaseString in ["matplotlib", "mpl"]:
                from .backends.MatplotlibBackend import MatplotlibBackend as be
            elif lowerCaseString in ["gl", "opengl"]:
                # from .backends.OpenGLBackend import OpenGLBackend as be
                from .backends.SilxBackend import SilxBackend as be
            elif lowerCaseString in ["glut"]:
                from .backends.GLUTOpenGLBackend import GLUTOpenGLBackend as be
            elif lowerCaseString in ["osmesa", "mesa"]:
                from .backends.OSMesaGLBackend import OSMesaGLBackend as be
            elif lowerCaseString in ["silx", "silx-mpl", "silxmpl",
                                     "silx-gl", "silxgl"]:
                from .backends.SilxBackend import SilxBackend as be
            else:
                raise ValueError("Backend not understood %s" % backend)
            if lowerCaseString in ["silx-gl", "silxgl"]:
                self._plot = be(parent, backend="gl")
            elif lowerCaseString in ["silx-mpl", "silxmpl"]:
                self._plot = be(parent, backend="mpl")
            else:
                self._plot = be(parent)
        super(Plot, self).__init__()
        widget = self._plot.getWidgetHandle()
        if widget is None:
            self.widget_ = self._plot
        else:
            self.widget_ = widget

        self.setCallback(callback)

        self.setLimits = self._plot.setLimits

        # curve handling
        self._curveList = []
        self._curveDict = {}
        self._activeCurve = None
        self._hiddenCurves = []

        #image handling
        self._imageList = []
        self._imageDict = {}
        self._activeImage = None

        # marker handling
        self._markerList = []
        self._markerDict = {}

        # item handling
        self._itemList = []
        self._itemDict = {}

        # line types
        self._styleList = ['-', '--', '-.', ':']
        self._nColors   = len(self.colorList)
        self._nStyles   = len(self._styleList)

        self._colorIndex = 0
        self._styleIndex = 0
        self._activeCurveColor = "#000000"

        # default properties
        self._logY = False
        self._logX = False

        self.setDefaultPlotPoints(False)
        self.setDefaultPlotLines(True)

        # zoom handling (should we take care of it?)
        self.enableZoom = self.setZoomModeEnabled
        # next line was giving troubles with silx backend(s) issue #1026
        if backend in ["matplotlib", "mpl"]:
            self.setZoomModeEnabled(True)

        self._defaultDataMargins = (0., 0., 0., 0.)

    def enableActiveCurveHandling(self, flag=True):
        activeCurve = None
        if not flag:
            if self.isActiveCurveHandlingEnabled():
                activeCurve = self.getActiveCurve()
            self._activeCurveHandling = False
            self._activeCurve = None
        else:
            self._activeCurveHandling = True
        self._plot.enableActiveCurveHandling(self._activeCurveHandling)
        if activeCurve not in [None, []]:
            self.addCurve(activeCurve[0],
                          activeCurve[1],
                          legend=activeCurve[2],
                          info=activeCurve[3])

    def isZoomModeEnabled(self):
        return self._plot.isZoomModeEnabled()

    def isDrawModeEnabled(self):
        return self._plot.isDrawModeEnabled()

    def getWidgetHandle(self):
        return self.widget_

    def setCallback(self, callbackFunction):
        if callbackFunction is None:
            self._plot.setCallback(self.graphCallback)
        else:
            self._plot.setCallback(callbackFunction)

    def graphCallback(self, ddict=None):
        """
        This callback is foing to receive all the events from the plot.
        Those events will consist on a dictionary and among the dictionary
        keys the key 'event' is mandatory to describe the type of event.
        This default implementation only handles setting the active curve.
        """

        if ddict is None:
            ddict = {}
        if DEBUG:
            print("Received dict keys = ", ddict.keys())
            print(ddict)
        if ddict['event'] in ["legendClicked", "curveClicked"]:
            if ddict['button'] == "left":
                self.setActiveCurve(ddict['label'])

    def setDefaultPlotPoints(self, flag):
        if flag:
            self._plotPoints = True
        else:
            self._plotPoints = False
        for key in self._curveList:
            if 'plot_symbol' in self._curveDict[key][3]:
                del self._curveDict[key][3]['plot_symbol']
        if len(self._curveList):
            self._update()

    def setDefaultPlotLines(self, flag):
        if flag:
            self._plotLines = True
        else:
            self._plotLines = False
        if len(self._curveList):
            self._update()

    def _getColorAndStyle(self):
        self._lastColorIndex = self._colorIndex
        self._lastStyleIndex = self._styleIndex
        if self._colorIndex >= self._nColors:
            self._colorIndex = 0
            self._styleIndex += 1
            if self._styleIndex >= self._nStyles:
                self._styleIndex = 0
        color = self.colorList[self._colorIndex]
        style = self._styleList[self._styleIndex]
        if color == self._activeCurveColor:
            self._colorIndex += 1
            if self._colorIndex >= self._nColors:
                self._colorIndex = 0
                self._styleIndex += 1
                if self._styleIndex >= self._nStyles:
                    self._styleIndex = 0
            color = self.colorList[self._colorIndex]
            style = self._styleList[self._styleIndex]
        self._colorIndex += 1
        return color, style

    def setZoomModeEnabled(self, flag=True, color="black"):
        """
        Zoom and drawing are not compatible and cannot be enabled simultanelously

        :param flag: If True, the user can zoom.
        :type flag: boolean, default True
        :param color: The color to use to draw the selection area.
                      Default 'black"
        :param color: The color to use to draw the selection area
        :type color: string ("#RRGGBB") or 4 column unsigned byte array or
                     one of the predefined color names defined in Colors.py
        """
        self._plot.setZoomModeEnabled(flag=flag, color=color)

    def setDrawModeEnabled(self, flag=True, shape="polygon", label=None,
                           color=None, **kw):
        """
        Zoom and drawing are not compatible and cannot be enabled simultanelously

        :param flag: Enable drawing mode disabling zoom and picking mode
        :type flag: boolean, default True
        :param shape: Type of item to be drawn (line, hline, vline, rectangle...)
        :type shape: string (default polygon)
        :param label: Associated text (for identifying the signals)
        :type label: string, default None
        :param color: The color to use to draw the selection area
        :type color: string ("#RRGGBB") or 4 column unsigned byte array or
                     one of the predefined color names defined in Colors.py
        """
        self._plot.setDrawModeEnabled(flag=flag, shape=shape, label=label,
                                      color=color, **kw)

    def addItem(self, xdata, ydata, legend=None, info=None,
                replot=True, replace=False,
                shape="polygon", **kw):
        #expected to receive the same parameters as the signal
        if legend is None:
            key = "Unnamed Item 1.1"
        else:
            key = str(legend)
        if info is None:
            info = {}
        item = self._plot.addItem(xdata, ydata,
                                  legend=legend,
                                  info=info,
                                  shape=shape,
                                  **kw)
        info['plot_handle'] = item
        parameters = kw
        label = kw.get('label', legend)
        parameters['shape'] = shape
        parameters['label'] = label

        if legend in self._itemList:
            idx = self._itemList.index(legend)
            del self._itemList[idx]
        self._itemList.append(legend)
        self._itemDict[legend] = { 'x':xdata,
                                   'y':ydata,
                                   'legend':legend,
                                   'info':info,
                                   'parameters':parameters}
        return legend

    def removeItem(self, legend, replot=True):
        if legend is None:
            return
        if legend in self._itemList:
            idx = self._itemList.index(legend)
            del self._itemList[idx]
        if legend in self._itemDict:
            handle = self._itemDict[legend]['info'].get('plot_handle', None)
            del self._itemDict[legend]
            if handle is not None:
                self._plot.removeItem(handle, replot=replot)

    def getDrawMode(self):
        """
        Return a dictionary (or None) with the parameters passed when setting
        the draw mode.
        :key shape: The shape being drawn
        :key label: Associated text (or None)
        and any other info
        """
        return self._plot.getDrawMode()

    def addCurve(self, x, y, legend=None, info=None, replace=False, replot=True,
                 color=None, symbol=None, linestyle=None,
                 xlabel=None, ylabel=None, yaxis=None,
                 xerror=None, yerror=None, z=None, selectable=None, **kw):
        # Convert everything to arrays (not forcing type) in order to avoid
        # problems at unexpected places: missing min or max attributes, problem
        # when using numpy.nonzero on lists, ...
        received_symbol = symbol
        received_linestyle = linestyle
        x = numpy.asarray(x)
        y = numpy.asarray(y)
        if "line_style" in kw:
            print("DEPRECATION WARNING: line_style deprecated, use linestyle")
        if legend is None:
            key = "Unnamed curve 1.1"
        else:
            key = str(legend)
        if info is None:
            info = {}
            if key in self._curveDict:
                # prevent curves from changing attributes when updated
                oldInfo = self._curveDict[key][3]
                for savedKey in ["xlabel", "ylabel",
                                 "plot_symbol", "plot_color",
                                 "plot_linestyle", "plot_fill",
                                 "plot_yaxis"]:
                    info[savedKey] = oldInfo[savedKey]
        if xlabel is None:
            xlabel = info.get('xlabel', 'X')
        if ylabel is None:
            ylabel = info.get('ylabel', 'Y')
        info['xlabel'] = str(xlabel)
        info['ylabel'] = str(ylabel)
        if xerror is None:
            xerror = info.get("sigmax", xerror)
        info['sigmax'] = xerror
        if yerror is None:
            yerror = info.get("sigmay", yerror)
        info['sigmay'] = yerror

        if replace:
            self._curveList = []
            self._curveDict = {}
            self._colorIndex = 0
            self._styleIndex = 0
            self._plot.clearCurves()

        if key in self._curveList:
            idx = self._curveList.index(key)
            self._curveList[idx] = key
            handle = self._curveDict[key][3].get('plot_handle', None)
            if handle is not None:
                # this can give errors if it is not present in the plot
                self._plot.removeCurve(key, replot=False)
                if received_symbol is None:
                    symbol = self._curveDict[key][3].get('plot_symbol', symbol)
                if color is None:
                    color = self._curveDict[key][3].get('plot_color', color)
                if received_linestyle is None:
                    linestyle = self._curveDict[key][3].get( \
                                        'plot_linestyle', linestyle)
        else:
            self._curveList.append(key)
        #print("TODO: Here we can add properties to the info dictionary")
        #print("For instance, color, symbol, style and width if not present")
        #print("They could come in **kw")
        #print("The actual plotting stuff should only take care of handling")
        #print("logarithmic filtering if needed")
        # deal with the fill
        fill = info.get("plot_fill", False)
        fill = kw.get("fill", fill)
        info["plot_fill"] = fill

        if yaxis is None:
            yaxis = info.get("plot_yaxis", "left")
        info["plot_yaxis"] = yaxis

        # deal with the symbol
        if received_symbol is None:
            symbol = info.get("plot_symbol", symbol)

        if self._plotPoints and (received_symbol is None):
            if symbol in [None, "", " "]:
                symbol = 'o'
        elif symbol == "":
            #symbol = None
            pass
        info["plot_symbol"] = symbol
        if color is None:
            color = info.get("plot_color", color)

        if received_linestyle is None:
            linestyle = info.get("plot_linestyle", linestyle)

        if self._plotLines and (received_linestyle is None):
            if (color is None) and (linestyle is None):
                color, linestyle = self._getColorAndStyle()
            elif linestyle in [None, " ", ""]:
                linestyle = '-'
        elif received_linestyle is None:
            linestyle = ' '
        elif linestyle is None:
            linestyle = ' '

        if (color is None) and (linestyle is None):
            color, linestyle = self._getColorAndStyle()
        elif linestyle is None:
            dummy, linestyle = self._getColorAndStyle()
        elif color is None:
            color, dummy = self._getColorAndStyle()

        info["plot_color"] = color
        info["plot_linestyle"] = linestyle
        if self.isXAxisLogarithmic() or self.isYAxisLogarithmic():
            if hasattr(color, "size"):
                xplot, yplot, colorplot = self.logFilterData(x, y, color=color)
            else:
                xplot, yplot, colorplot = self.logFilterData(x, y, color=None)
                colorplot = color
        else:
            xplot, yplot = x, y
            colorplot = color

        if z is None:
            info["plot_z"] = info.get("plot_z", 1)
        else:
            info["plot_z"] = z

        if selectable is None:
            selectable = info.get("plot_selectable", True)
        info["plot_selectable"] = selectable
        if len(xplot):
            curveHandle = self._plot.addCurve(xplot, yplot, key, info,
                                              replot=False, replace=replace,
                                              color=colorplot,
                            symbol=info["plot_symbol"],
                            linestyle=info["plot_linestyle"],
                            xlabel=info["xlabel"],
                            ylabel=info["ylabel"],
                            yaxis=yaxis,
                            xerror=xerror,
                            yerror=yerror,
                            z=info["plot_z"],
                            selectable=info["plot_selectable"],
                            **kw)
            info['plot_handle'] = curveHandle
        else:
            info['plot_handle'] = key
        self._curveDict[key] = [x, y, key, info]

        if len(self._curveList) == 1:
            if self.isActiveCurveHandlingEnabled():
                self._plot.setGraphXLabel(info["xlabel"])
                self._plot.setGraphYLabel(info["ylabel"])
                self.setActiveCurve(key)

        if self.isCurveHidden(key):
            self._plot.removeCurve(key, replot=False)
        if replot:
            # We ask for a zoom reset in order to handle the plot scaling
            # if the user does not want that, autoscale of the different
            # axes has to be set to off.
            self.resetZoom()
            #self.replot()
        return key

    def addImage(self, data, legend=None, info=None,
                 replace=True, replot=True,
                 xScale=None, yScale=None, z=None,
                 selectable=False, draggable=False,
                 colormap=None, pixmap=None, **kw):
        """
        :param data: (nrows, ncolumns) data or (nrows, ncolumns, RGBA) ubyte array
        :type data: numpy.ndarray
        :param legend: The legend to be associated to the curve
        :type legend: string or None
        :param info: Dictionary of information associated to the image
        :type info: dict or None
        :param replace: Flag to indicate if already existing images are to be deleted
        :type replace: boolean default True
        :param replot: Flag to indicate plot is to be immediately updated
        :type replot: boolean default True
        :param xScale: Two floats defining the x scale
        :type xScale: list or numpy.ndarray
        :param yScale: Two floats defining the y scale
        :type yScale: list or numpy.ndarray
        :param z: level at which the image is to be located (to allow overlays).
        :type z: A number bigger than or equal to zero (default)
        :param selectable: Flag to indicate if the image can be selected
        :type selectable: boolean, default False
        :param draggable: Flag to indicate if the image can be moved
        :type draggable: boolean, default False
        :param colormap: Dictionary describing the colormap to use (or None)
        :type colormap: Dictionary or None (default). Ignored if data is RGB(A)
        :param pixmap: Pixmap representation of the data (if any)
        :type pixmap: (nrows, ncolumns, RGBA) ubyte array or None (default)
        :returns: The legend/handle used by the backend to univocally access it.
        """
        if legend is None:
            key = "Unnamed Image 1.1"
        else:
            key = str(legend)
        if info is None:
            info = {}
        xlabel = info.get('xlabel', 'Column')
        ylabel = info.get('ylabel', 'Row')
        if 'xlabel' in kw:
            info['xlabel'] = kw['xlabel']
        if 'ylabel' in kw:
            info['ylabel'] = kw['ylabel']
        info['xlabel'] = str(xlabel)
        info['ylabel'] = str(ylabel)

        if xScale is None:
            xScale = info.get("plot_xScale", None)
        if yScale is None:
            yScale = info.get("plot_yScale", None)
        if z is None:
            z = info.get("plot_z", 0)

        if replace:
            self._imageList = []
            self._imageDict = {}
        if pixmap is not None:
            dataToSend = pixmap
        else:
            dataToSend = data
        if data is not None:
            imageHandle = self._plot.addImage(dataToSend, legend=key, info=info,
                                              replot=False, replace=replace,
                                              xScale=xScale, yScale=yScale,
                                              z=z,
                                              selectable=selectable,
                                              draggable=draggable,
                                              colormap=colormap,
                                              **kw)
            info['plot_handle'] = imageHandle
        else:
            info['plot_handle'] = key
        info["plot_xScale"] = xScale
        info["plot_yScale"] = yScale
        info["plot_z"] = z
        info["plot_selectable"] = selectable
        info["plot_draggable"] = draggable
        info["plot_colormap"] = colormap
        self._imageDict[key] = [data, key, info, pixmap]
        if len(self._imageDict) == 1:
            self.setActiveImage(key)
        if replot:
            # We ask for a zoom reset in order to handle the plot scaling
            # if the user does not want that, autoscale of the different
            # axes has to be set to off.
            self.resetZoom()
            #self.replot()
        return key

    def removeCurve(self, legend, replot=True):
        """
        Remove the curve associated to the supplied legend from the graph.
        The graph will be updated if replot is true.
        :param legend: The legend associated to the curve to be deleted
        :type legend: string or None
        :param replot: Flag to indicate plot is to be immediately updated
        :type replot: boolean default True
        """
        if legend is None:
            return
        if legend in self._curveList:
            idx = self._curveList.index(legend)
            del self._curveList[idx]
        if legend in self._curveDict:
            handle = self._curveDict[legend][3].get('plot_handle', None)
            del self._curveDict[legend]
            if handle is not None:
                self._plot.removeCurve(handle, replot=replot)
        if not len(self._curveList):
            self._colorIndex = 0
            self._styleIndex = 0

    def removeImage(self, legend, replot=True):
        """
        Remove the image associated to the supplied legend from the graph.
        The graph will be updated if replot is true.
        :param legend: The legend associated to the image to be deleted
        :type legend: string or handle
        :param replot: Flag to indicate plot is to be immediately updated
        :type replot: boolean default True
        """
        if legend is None:
            return
        if legend in self._imageList:
            idx = self._imageList.index(legend)
            del self._imageList[idx]
        if legend in self._imageDict:
            handle = self._imageDict[legend][2].get('plot_handle', None)
            del self._imageDict[legend]
            if handle is not None:
                self._plot.removeImage(handle, replot=replot)
        return

    def getActiveCurve(self, just_legend=False):
        """
        :param just_legend: Flag to specify the type of output required
        :type just_legend: boolean
        :return: legend of the active curve or list [x, y, legend, info]
        :rtype: string or list

        Function to access the graph currently active curve.
        It returns None in case of not having an active curve.

        Default output has the form:
            xvalues, yvalues, legend, dict
            where dict is a dictionary containing curve info.
            For the time being, only the plot labels associated to the
            curve are warranted to be present under the keys xlabel, ylabel.

        If just_legend is True:
            The legend of the active curve (or None) is returned.
        """
        if not self.isActiveCurveHandlingEnabled():
            return None
        if self._activeCurve not in self._curveDict:
            self._activeCurve = None
        if just_legend:
            return self._activeCurve
        if self._activeCurve is None:
            return None
        else:
            return self._curveDict[self._activeCurve] * 1

    def getActiveImage(self, just_legend=False):
        """
        Function to access the plot currently active image.
        It returns None in case of not having an active image.

        Default output has the form:
            data, legend, dict, pixmap
            where dict is a dictionary containing image info.
            For the time being, only the plot labels associated to the
            image are warranted to be present under the keys xlabel, ylabel.

        If just_legend is True:
            The legend of the active imagee (or None) is returned.

        :param just_legend: Flag to specify the type of output required
        :type just_legend: boolean
        :return: legend of the active image or list [data, legend, info, pixmap]
        :rtype: string or list
        """
        if self._activeImage not in self._imageDict:
            self._activeImage = None
        if just_legend:
            return self._activeImage
        if self._activeImage is None:
            return None
        else:
            return self._imageDict[self._activeImage] * 1

    def getAllCurves(self, just_legend=False):
        """
        :param just_legend: Flag to specify the type of output required
        :type just_legend: boolean
        :return: legend of the curves or list [[x, y, legend, info], ...]
        :rtype: list of strings or list of curves

        It returns an empty list in case of not having any curve.
        If just_legend is False:
            It returns a list of the form:
                [[xvalues0, yvalues0, legend0, dict0],
                 [xvalues1, yvalues1, legend1, dict1],
                 [...],
                 [xvaluesn, yvaluesn, legendn, dictn]]
            or just an empty list.
        If just_legend is True:
            It returns a list of the form:
                [legend0, legend1, ..., legendn]
            or just an empty list.
        """
        output = []
        keys = list(self._curveDict.keys())
        for key in self._curveList:
            if key in keys:
                if self.isCurveHidden(key):
                    continue
                if just_legend:
                    output.append(key)
                else:
                    output.append(self._curveDict[key])
        return output

    def getCurve(self, legend):
        """
        :param legend: legend associated to the curve
        :type legend: boolean
        :return: list [x, y, legend, info]
        :rtype: list

        Function to access the graph specified curve.
        It returns None in case of not having the curve.

        Default output has the form:
            xvalues, yvalues, legend, info
            where info is a dictionary containing curve info.
            For the time being, only the plot labels associated to the
            curve are warranted to be present under the keys xlabel, ylabel.
        """
        if legend in self._curveDict:
            return self._curveDict[legend] * 1
        else:
            return None

    def getImage(self, legend):
        """
        :param legend: legend associated to the curve
        :type legend: boolean
        :return: list [image, legend, info, pixmap]
        :rtype: list

        Function to access the graph currently active curve.
        It returns None in case of not having an active curve.

        Default output has the form:
            image, legend, info, pixmap
            where info is a dictionary containing image information.
        """
        if legend in self._imageDict:
            return self._imageDict[legend] * 1
        else:
            return None

    def _getAllLimits(self):
        """
        Internal method to retrieve the limits based on the curves, not
        on the plot. It might be of use to reset the zoom when one of the
        X or Y axes is not set to autoscale.
        """
        keys = list(self._curveDict.keys())
        if not len(keys):
            return 0.0, 0.0, 100., 100.
        xmin = None
        ymin = None
        xmax = None
        ymax = None
        for key in keys:
            x = self._curveDict[key][0]
            y = self._curveDict[key][1]
            if xmin is None:
                xmin = x.min()
            else:
                xmin = min(xmin, x.min())
            if xmax is None:
                xmax = x.max()
            else:
                xmax = max(xmax, x.max())
            if ymin is None:
                ymin = y.min()
            else:
                ymin = min(ymin, y.min())
            if ymax is None:
                ymax = y.max()
            else:
                ymax = max(ymax, y.max())
        return xmin, ymin, xmax, ymax

    def saveGraph(self, filename, fileFormat='svg', dpi=None, **kw):
        """
        :param fileName: Destination
        :type fileName: String or StringIO or BytesIO
        :param fileFormat:  String specifying the format
        :type fileFormat: String (default 'svg')
        """
        return self._plot.saveGraph(filename,
                                    fileFormat=fileFormat,
                                    dpi=dpi,
                                    **kw)

    def setActiveCurve(self, legend, replot=True):
        """
        Funtion to request the plot window to set the curve with the specified legend
        as the active curve.
        :param legend: The legend associated to the curve
        :type legend: string
        """
        if not self.isActiveCurveHandlingEnabled():
            return
        oldActiveCurve = self.getActiveCurve(just_legend=True)
        key = str(legend)
        if key in self._curveDict.keys():
            self._activeCurve = key
        if self._activeCurve == oldActiveCurve:
            # the labels may need to be updated!!!!
            return self._activeCurve
        self._plot.setActiveCurve(self._activeCurve, replot=replot)
        return self._activeCurve

    def setActiveCurveColor(self, color="#000000"):
        if color is None:
            color = "black"
        if color in self.colorDict:
            color = self.colorDict[color]
        self._activeCurveColor = color
        self._plot.setActiveCurveColor(color)

    def setActiveImage(self, legend, replot=True):
        """
        Funtion to request the plot window to set the image with the specified legend
        as the active image.
        :param legend: The legend associated to the image
        :type legend: string
        """
        oldActiveImage = self.getActiveImage(just_legend=True)
        key = str(legend)
        if key in self._imageDict.keys():
            self._activeImage = key
        self._plot.setActiveImage(self._activeImage, replot=replot)
        return self._activeImage

    def invertYAxis(self, flag=True):
        self._plot.invertYAxis(flag)

    def isYAxisInverted(self):
        return self._plot.isYAxisInverted()

    def isYAxisLogarithmic(self):
        if self._logY:
            return True
        else:
            return False

    def isXAxisLogarithmic(self):
        if self._logX:
            return True
        else:
            return False

    def setYAxisLogarithmic(self, flag):
        if flag:
            if self._logY:
                if DEBUG:
                    print("y axis was already in log mode")
            else:
                self._logY = True
                if DEBUG:
                    print("y axis was in linear mode")
                self._plot.clearCurves()
                # matplotlib 1.5 crashes if the log set is made before
                # the call to self._update()
                # TODO: Decide what is better for other backends
                if hasattr(self._plot, "matplotlibVersion"):
                    if self._plot.matplotlibVersion < "1.5":
                        self._plot.setYAxisLogarithmic(self._logY)
                        self._update()
                    else:
                        self._update()
                        self._plot.setYAxisLogarithmic(self._logY)
                else:
                    self._plot.setYAxisLogarithmic(self._logY)
                    self._update()
        else:
            if self._logY:
                if DEBUG:
                    print("y axis was in log mode")
                self._logY = False
                self._plot.clearCurves()
                self._plot.setYAxisLogarithmic(self._logY)
                self._update()
            else:
                if DEBUG:
                    print("y axis was already linear mode")
        return

    def setXAxisLogarithmic(self, flag):
        if flag:
            if self._logX:
                if DEBUG:
                    print("x axis was already in log mode")
            else:
                self._logX = True
                if DEBUG:
                    print("x axis was in linear mode")
                self._plot.clearCurves()
                # matplotlib 1.5 crashes if the log set is made before
                # the call to self._update()
                # TODO: Decide what is better for other backends
                if hasattr(self._plot, "matplotlibVersion"):
                    if self._plot.matplotlibVersion < "1.5":
                        self._plot.setXAxisLogarithmic(self._logX)
                        self._update()
                    else:
                        self._update()
                        self._plot.setXAxisLogarithmic(self._logX)
                else:
                    self._plot.setXAxisLogarithmic(self._logX)
                    self._update()
        else:
            if self._logX:
                if DEBUG:
                    print("x axis was in log mode")
                self._logX = False
                self._plot.setXAxisLogarithmic(self._logX)
                self._update()
            else:
                if DEBUG:
                    print("x axis was already linear mode")
        return

    def logFilterData(self, x, y, xLog=None, yLog=None, color=None):
        if xLog is None:
            xLog = self._logX
        if yLog is None:
            yLog = self._logY

        if xLog and yLog:
            idx = numpy.nonzero((x > 0) & (y > 0))[0]
            x = numpy.take(x, idx)
            y = numpy.take(y, idx)
        elif yLog:
            idx = numpy.nonzero(y > 0)[0]
            x = numpy.take(x, idx)
            y = numpy.take(y, idx)
        elif xLog:
            idx = numpy.nonzero(x > 0)[0]
            x = numpy.take(x, idx)
            y = numpy.take(y, idx)
        if isinstance(color, numpy.ndarray):
            colors = numpy.zeros((x.size, 4), color.dtype)
            colors[:, 0] = color[idx, 0]
            colors[:, 1] = color[idx, 1]
            colors[:, 2] = color[idx, 2]
            colors[:, 3] = color[idx, 3]
        else:
            colors = color
        return x, y, colors

    def _update(self):
        if DEBUG:
            print("_update called")
        curveList = self.getAllCurves()
        activeCurve = self.getActiveCurve(just_legend=True)
        #self._plot.clearCurves()
        for curve in curveList:
            x, y, legend, info = curve[0:4]
            self.addCurve(x, y, legend, info=info,
                          replace=False, replot=False)
        if len(curveList):
            if activeCurve not in curveList:
                activeCurve = curveList[0][2]
            self.setActiveCurve(activeCurve)
        self.replot()

    def replot(self):
        if DEBUG:
            print("replot called")
        if self.isXAxisLogarithmic() or self.isYAxisLogarithmic():
            for image in self._imageDict.keys():
                self._plot.removeImage(image[1])
        if hasattr(self._plot, 'replot_'):
            self._plot.replot_()
        else:
            self._plot.replot()

    def clear(self, replot=True):
        self._curveList = []
        self._curveDict = {}
        self._colorIndex = 0
        self._styleIndex = 0
        self._markerDict = {}
        self._imageList = []
        self._imageDict = {}
        self._markerList = []
        self._plot.clear()
        if replot:
            self.replot()

    def clearCurves(self, replot=True):
        self._curveList = []
        self._curveDict = {}
        self._colorIndex = 0
        self._styleIndex = 0
        self._plot.clearCurves()
        if replot:
            self.replot()

    def clearImages(self, replot=True):
        """
        Clear all images from the plot. Not the curves or markers.
        """
        self._imageList = []
        self._imageDict = {}
        self._plot.clearImages()
        if replot:
            self.replot()
        return

    def getDataMargins(self):
        """Get the default data margin ratios, see :meth:`setDataMargins`.

        :return: The margin ratios for each side (xMin, xMax, yMin, yMax).
        :rtype: A 4-tuple of floats.
        """
        return self._defaultDataMargins

    def setDataMargins(self, xMinMargin=0., xMaxMargin=0.,
                       yMinMargin=0., yMaxMargin=0.):
        """Set the default data margins to use in :meth:`resetZoom`.

        Set the default ratios of margins (as floats) to add around the data
        inside the plot area for each side.
        """
        self._defaultDataMargins = (xMinMargin, xMaxMargin,
                                    yMinMargin, yMaxMargin)

    def resetZoom(self, dataMargins=None):
        if dataMargins is None:
            dataMargins = self._defaultDataMargins
        self._plot.resetZoom(dataMargins)

    def setXAxisAutoScale(self, flag=True):
        self._plot.setXAxisAutoScale(flag)

    def setYAxisAutoScale(self, flag=True):
        self._plot.setYAxisAutoScale(flag)

    def isXAxisAutoScale(self):
        return self._plot.isXAxisAutoScale()

    def isYAxisAutoScale(self):
        return self._plot.isYAxisAutoScale()

    def getGraphTitle(self):
        return self._plot.getGraphTitle()

    def getGraphXLabel(self):
        return self._plot.getGraphXLabel()

    def getGraphYLabel(self):
        return self._plot.getGraphYLabel()

    def setGraphYLimits(self, ymin, ymax, replot=False):
        self._plot.setGraphYLimits(ymin, ymax)
        if replot:
            self.replot()

    def setGraphXLimits(self, xmin, xmax, replot=False):
        self._plot.setGraphXLimits(xmin, xmax)
        if replot:
            self.replot()

    def getGraphXLimits(self):
        """
        Get the graph X (bottom) limits.
        :return:  Minimum and maximum values of the X axis
        """
        if hasattr(self._plot, "getGraphXLimits"):
            xmin, xmax = self._plot.getGraphXLimits()
        else:
            xmin, ymin, xmax, ymax = self._getAllLimits()
        return xmin, xmax

    def getGraphYLimits(self):
        """
        Get the graph Y (left) limits.
        :return:  Minimum and maximum values of the X axis
        """
        if hasattr(self._plot, "getGraphYLimits"):
            ymin, ymax = self._plot.getGraphYLimits()
        else:
            xmin, ymin, xmax, ymax = self._getAllLimits()
        return ymin, ymax

    # Title and labels
    def setGraphTitle(self, title=""):
        self._plot.setGraphTitle(title)

    def setGraphXLabel(self, label="X"):
        self._plot.setGraphXLabel(label)

    def setGraphYLabel(self, label="Y"):
        self._plot.setGraphYLabel(label)

    # Marker handling
    def insertXMarker(self, x, legend=None,
                      text=None,
                      color=None,
                      selectable=False,
                      draggable=False,
                      **kw):
        """
        kw ->symbol
        """
        if DEBUG:
            print("Received legend = %s" % legend)
        if text is None:
            text = kw.get("label", None)
            if text is not None:
                print("insertXMarker deprecation warning: Use 'text' instead of 'label'")
        if color is None:
            color = self.colorDict['black']
        elif color in self.colorDict:
            color = self.colorDict[color]
        if legend is None:
            i = 0
            legend = "Unnamed X Marker %d" % i
            while legend in self._markerList:
                i += 1
                legend = "Unnamed X Marker %d" % i

        if legend in self._markerList:
            self.removeMarker(legend)
        marker = self._plot.insertXMarker(x, legend,
                                          text=text,
                                          color=color,
                                          selectable=selectable,
                                          draggable=draggable,
                                          **kw)
        self._markerList.append(legend)
        self._markerDict[legend] = kw
        self._markerDict[legend]['marker'] = marker
        return marker

    def insertYMarker(self, y,
                      legend=None,
                      text=None,
                      color=None,
                      selectable=False,
                      draggable=False,
                      **kw):
        """
        kw -> color, symbol
        """
        if text is None:
            text = kw.get("label", None)
            if text is not None:
                print("insertYMarker deprecation warning: Use 'text' instead of 'label'")
        if color is None:
            color = self.colorDict['black']
        elif color in self.colorDict:
            color = self.colorDict[color]
        if legend is None:
            i = 0
            legend = "Unnamed Y Marker %d" % i
            while legend in self._markerList:
                i += 1
                legend = "Unnamed Y Marker %d" % i
        if legend in self._markerList:
            self.removeMarker(legend)
        marker = self._plot.insertYMarker(y, legend=legend,
                                          text=text,
                                          color=color,
                                          selectable=selectable,
                                          draggable=draggable,
                                          **kw)
        self._markerList.append(legend)
        self._markerDict[legend] = kw
        self._markerDict[legend]['marker'] = marker
        return marker

    def insertMarker(self, x, y, legend=None,
                     text=None,
                     color=None,
                     selectable=False,
                     draggable=False,
                     symbol=None,
                     constraint=None,
                     **kw):
        if text is None:
            text = kw.get("label", None)
            if text is not None:
                print("insertMarker deprecation warning: Use 'text' instead of 'label'")
        if color is None:
            color = self.colorDict['black']
        elif color in self.colorDict:
            color = self.colorDict[color]
        if legend is None:
            i = 0
            legend = "Unnamed Marker %d" % i
            while legend in self._markerList:
                i += 1
                legend = "Unnamed Marker %d" % i

        if constraint is not None and not callable(constraint):
            # Then it must be a string
            if hasattr(constraint, 'lower'):
                if constraint.lower().startswith('h'):
                    constraint = lambda xData, yData: (xData, y)
                elif constraint.lower().startswith('v'):
                    constraint = lambda xData, yData: (x, yData)
                else:
                    raise ValueError(
                        "Unsupported constraint name: %s" % constraint)
            else:
                raise ValueError("Unsupported constraint")

        if legend in self._markerList:
            self.removeMarker(legend)
        marker = self._plot.insertMarker(x, y, legend=legend,
                                          text=text,
                                          color=color,
                                          selectable=selectable,
                                          draggable=draggable,
                                          symbol=symbol,
                                          constraint=constraint,
                                          **kw)
        self._markerList.append(legend)
        self._markerDict[legend] = kw
        self._markerDict[legend]['marker'] = marker
        return marker

    def keepDataAspectRatio(self, flag=True):
        """
        :param flag:  True to respect data aspect ratio
        :type flag: Boolean, default True
        """
        self._plot.keepDataAspectRatio(flag=flag)

    def clearMarkers(self):
        self._markerDict = {}
        self._markerList = []
        self._plot.clearMarkers()
        self.replot()

    def removeMarker(self, marker):
        if marker in self._markerList:
            idx = self._markerList.index(marker)
            del self._markerList[idx]
            try:
                self._plot.removeMarker(self._markerDict[marker]['marker'])
                del self._markerDict[marker]
            except KeyError:
                if DEBUG:
                    print("Marker was not present %s"  %\
                          self._markerDict[marker]['marker'])

    def setMarkerFollowMouse(self, marker, boolean):
        raise NotImplemented("Not necessary?")
        if marker not in self._markerList:
            raise ValueError("Marker %s not defined" % marker)
        pass

    def enableMarkerMode(self, flag):
        raise NotImplemented("Not necessary?")
        pass

    def isMarkerModeEnabled(self, flag):
        raise NotImplemented("Not necessary?")
        pass

    def showGrid(self, flag=True):
        if DEBUG:
            print("Plot showGrid called")
        self._plot.showGrid(flag)

    # colormap related functions
    def getDefaultColormap(self):
        """
        Return the colormap that will be applied by the backend to an image
        if no colormap is applied to it.
        A colormap is a dictionary with the keys:
        :type name: string
        :type normalization: string (linear, log)
        :type autoscale: boolean
        :type vmin: float, minimum value
        :type vmax: float, maximum value
        :type colors: integer (typically 256)
        """
        return self._plot.getDefaultColormap()

    def setDefaultColormap(self, colormap=None):
        """
        Sets the colormap that will be applied by the backend to an image
        if no colormap is applied to it.
        A colormap is a dictionary with the keys:
        :type name: string
        :type normalization: string (linear, log)
        :type autoscale: boolean
        :type vmin: float, minimum value
        :type vmax: float, maximum value
        :type colors: integer (typically 256)

        If None is passed, the backend will reset to its default colormap.
        """
        self._plot.setDefaultColormap(colormap)

    def getSupportedColormaps(self):
        """
        Get a list of strings with the colormap names supported by the backend.
        The list should at least contain and start by:
        ['gray', 'reversed gray', 'temperature', 'red', 'green', 'blue']
        """
        return self._plot.getSupportedColormaps()

    def hideCurve(self, legend, flag=True, replot=True):
        if flag:
            self._plot.removeCurve(legend, replot=replot)
            if legend not in self._hiddenCurves:
                self._hiddenCurves.append(legend)
        else:
            while legend in self._hiddenCurves:
                idx = self._hiddenCurves.index(legend)
                del self._hiddenCurves[idx]
            if legend in self._curveDict:
                x, y, legend, info = self._curveDict[legend][0:4]
                self.addCurve(x, y, legend, info, replot=replot)

    def isCurveHidden(self, legend):
        return legend in self._hiddenCurves

    def dataToPixel(self, x=None, y=None, axis="left"):
        """
        Convert a position in data space to a position in pixels in the widget.

        :param float x: The X coordinate in data space. If None (default)
                            the middle position of the displayed data is used.
        :param float y: The Y coordinate in data space. If None (default)
                            the middle position of the displayed data is used.
        :param str axis: The Y axis to use for the conversion
                         ('left' or 'right').
        :returns: The corresponding position in pixels or
                  None if the data position is not in the displayed area.
        :rtype: A tuple of 2 floats: (xPixel, yPixel) or None.
        """
        return self._plot.dataToPixel(x, y, axis=axis)

    def pixelToData(self, x=None, y=None, axis="left"):
        """
        Convert a position in pixels in the widget to a position in
        the data space.

        :param float x: The X coordinate in pixels. If None (default)
                            the center of the widget is used.
        :param float y: The Y coordinate in pixels. If None (default)
                            the center of the widget is used.
        :param str axis: The Y axis to use for the conversion
                         ('left' or 'right').
        :returns: The corresponding position in data space or
                  None if the pixel position is not in the plot area.
        :rtype: A tuple of 2 floats: (xData, yData) or None.
        """
        return self._plot.pixelToData(x, y, axis=axis)

    def setGraphCursor(self, flag=None, color=None,
                       linewidth=None, linestyle=None):
        """
        Toggle the display of a crosshair cursor and set its attributes.

        :param bool flag: Toggle the display of a crosshair cursor.
                           The crosshair cursor is hidden by default.
        :param color: The color to use for the crosshair.
        :type color: A string (either a predefined color name in Colors.py
                    or "#RRGGBB")) or a 4 columns unsigned byte array.
                    Default is black.
        :param int linewidth: The width of the lines of the crosshair.
                    Default is 1.
        :param linestyle: Type of line::
        
                - ' ' no line
                - '-' solid line
                - '--' dashed line
                - '-.' dash-dot line
                - ':' dotted line

        :type linestyle: None or one of the predefined styles.
        """
        self._plot.setGraphCursor(flag=flag, color=color,
                                  linewidth=linewidth, linestyle=linestyle)
    def getGraphCursor(self):
        """
        Returns the current state of the crosshair cursor.

        :return: None if the crosshair cursor is not active,
                 else a tuple (color, linewidth, linestyle).
        """
        return self._plot.getGraphCursor()

    # Pan support

    def pan(self, direction, factor=0.1):
        """Pan the graph in the given direction by the given factor.

        Warning: Pan of right Y axis not implemented!

        :param str direction: One of 'up', 'down', 'left', 'right'.
        :param float factor: Proportion of the range used to pan the graph.
                             Must be strictly positive.
        """
        assert direction in ('up', 'down', 'left', 'right')
        assert factor > 0.

        if direction in ('left', 'right'):
            xFactor = factor if direction == 'right' else - factor
            xMin, xMax = self.getGraphXLimits()

            xMin, xMax = _applyPan(xMin, xMax, xFactor,
                                   self.isXAxisLogarithmic())
            self.setGraphXLimits(xMin, xMax)

        else:  # direction in ('up', 'down')
            sign = -1. if self.isYAxisInverted() else 1.
            yFactor  = sign * (factor if direction == 'up' else - factor)
            yMin, yMax = self.getGraphYLimits()
            yIsLog = self.isYAxisLogarithmic()

            yMin, yMax = _applyPan(yMin, yMax, yFactor, yIsLog)
            self.setGraphYLimits(yMin, yMax)

            # TODO handle second Y axis

        self.replot()

def _applyPan(min_, max_, panFactor, isLog10):
    """Returns a new range with applied panning.

    Moves the range according to panFactor.
    If isLog10 is True, converts to log10 before moving.

    :param float min_: Min value of the data range to pan.
    :param float max_: Max value of the data range to pan.
                       Must be >= min_.
    :param float panFactor: Signed proportion of the range to use for pan.
    :param bool isLog10: True if log10 scale, False if linear scale.
    :return: New min and max value with pan applied.
    :rtype: 2-tuple of float.
    """
    if isLog10 and min_ > 0.:
        # Negative range and log scale can happen with matplotlib
        logMin, logMax = math.log10(min_), math.log10(max_)
        logOffset = panFactor * (logMax - logMin)
        newMin = pow(10., logMin + logOffset)
        newMax = pow(10., logMax + logOffset)

        # Takes care of out-of-range values
        if newMin > 0. and newMax < float('inf'):
            min_, max_ = newMin, newMax

    else:
        offset = panFactor * (max_ - min_)
        newMin, newMax = min_ + offset, max_ + offset

        # Takes care of out-of-range values
        if newMin > - float('inf') and newMax < float('inf'):
            min_, max_ = newMin, newMax
    return min_, max_

def main():
    x = numpy.arange(100.)
    y = x * x
    plot = Plot()
    plot.addCurve(x, y, "dummy")
    plot.addCurve(x + 100, -x * x, "To set Active")
    print("Active curve = ", plot.getActiveCurve())
    print("X Limits = ", plot.getGraphXLimits())
    print("Y Limits = ", plot.getGraphYLimits())
    print("All curves = ", plot.getAllCurves())
    plot.removeCurve("dummy")
    plot.setActiveCurve("To set Active")
    print("All curves = ", plot.getAllCurves())
    plot.insertXMarker(50.)

if __name__ == "__main__":
    main()
