261 lines
8.3 KiB
Python
261 lines
8.3 KiB
Python
from __future__ import division
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from ..Qt import QtGui, QtCore
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import numpy as np
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from .. import functions as fn
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from .. import debug as debug
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from .GraphicsObject import GraphicsObject
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from ..Point import Point
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from .. import getConfigOption
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from .GradientEditorItem import Gradients # List of colormaps
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from ..colormap import ColorMap
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try:
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from collections.abc import Callable
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except ImportError:
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# fallback for python < 3.3
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from collections import Callable
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__all__ = ['PColorMeshItem']
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class PColorMeshItem(GraphicsObject):
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"""
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**Bases:** :class:`GraphicsObject <pyqtgraph.GraphicsObject>`
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"""
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def __init__(self, *args, **kwargs):
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"""
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Create a pseudocolor plot with convex polygons.
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Call signature:
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``PColorMeshItem([x, y,] z, **kwargs)``
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x and y can be used to specify the corners of the quadrilaterals.
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z must be used to specified to color of the quadrilaterals.
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Parameters
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----------
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x, y : np.ndarray, optional, default None
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2D array containing the coordinates of the polygons
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z : np.ndarray
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2D array containing the value which will be maped into the polygons
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colors.
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If x and y is None, the polygons will be displaced on a grid
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otherwise x and y will be used as polygons vertices coordinates as::
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(x[i+1, j], y[i+1, j]) (x[i+1, j+1], y[i+1, j+1])
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+---------+
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| z[i, j] |
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+---------+
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(x[i, j], y[i, j]) (x[i, j+1], y[i, j+1])
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"ASCII from: <https://matplotlib.org/3.2.1/api/_as_gen/
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matplotlib.pyplot.pcolormesh.html>".
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cmap : str, default 'viridis
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Colormap used to map the z value to colors.
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edgecolors : dict, default None
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The color of the edges of the polygons.
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Default None means no edges.
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The dict may contains any arguments accepted by :func:`mkColor() <pyqtgraph.mkColor>`.
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Example:
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``mkPen(color='w', width=2)``
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antialiasing : bool, default False
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Whether to draw edgelines with antialiasing.
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Note that if edgecolors is None, antialiasing is always False.
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"""
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GraphicsObject.__init__(self)
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self.qpicture = None ## rendered picture for display
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self.axisOrder = getConfigOption('imageAxisOrder')
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if 'edgecolors' in kwargs.keys():
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self.edgecolors = kwargs['edgecolors']
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else:
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self.edgecolors = None
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if 'antialiasing' in kwargs.keys():
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self.antialiasing = kwargs['antialiasing']
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else:
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self.antialiasing = False
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if 'cmap' in kwargs.keys():
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if kwargs['cmap'] in Gradients.keys():
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self.cmap = kwargs['cmap']
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else:
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raise NameError('Undefined colormap, should be one of the following: '+', '.join(['"'+i+'"' for i in Gradients.keys()])+'.')
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else:
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self.cmap = 'viridis'
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# If some data have been sent we directly display it
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if len(args)>0:
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self.setData(*args)
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def _prepareData(self, args):
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"""
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Check the shape of the data.
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Return a set of 2d array x, y, z ready to be used to draw the picture.
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"""
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# User didn't specified data
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if len(args)==0:
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self.x = None
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self.y = None
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self.z = None
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# User only specified z
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elif len(args)==1:
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# If x and y is None, the polygons will be displaced on a grid
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x = np.arange(0, args[0].shape[0]+1, 1)
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y = np.arange(0, args[0].shape[1]+1, 1)
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self.x, self.y = np.meshgrid(x, y, indexing='ij')
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self.z = args[0]
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# User specified x, y, z
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elif len(args)==3:
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# Shape checking
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if args[0].shape[0] != args[2].shape[0]+1 or args[0].shape[1] != args[2].shape[1]+1:
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raise ValueError('The dimension of x should be one greater than the one of z')
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if args[1].shape[0] != args[2].shape[0]+1 or args[1].shape[1] != args[2].shape[1]+1:
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raise ValueError('The dimension of y should be one greater than the one of z')
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self.x = args[0]
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self.y = args[1]
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self.z = args[2]
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else:
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ValueError('Data must been sent as (z) or (x, y, z)')
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def setData(self, *args):
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"""
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Set the data to be drawn.
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Parameters
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----------
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x, y : np.ndarray, optional, default None
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2D array containing the coordinates of the polygons
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z : np.ndarray
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2D array containing the value which will be maped into the polygons
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colors.
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If x and y is None, the polygons will be displaced on a grid
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otherwise x and y will be used as polygons vertices coordinates as::
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(x[i+1, j], y[i+1, j]) (x[i+1, j+1], y[i+1, j+1])
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+---------+
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| z[i, j] |
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+---------+
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(x[i, j], y[i, j]) (x[i, j+1], y[i, j+1])
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"ASCII from: <https://matplotlib.org/3.2.1/api/_as_gen/
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matplotlib.pyplot.pcolormesh.html>".
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"""
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# Prepare data
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cd = self._prepareData(args)
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# Has the view bounds changed
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shapeChanged = False
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if self.qpicture is None:
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shapeChanged = True
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elif len(args)==1:
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if args[0].shape[0] != self.x[:,1][-1] or args[0].shape[1] != self.y[0][-1]:
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shapeChanged = True
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elif len(args)==3:
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if np.any(self.x != args[0]) or np.any(self.y != args[1]):
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shapeChanged = True
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self.qpicture = QtGui.QPicture()
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p = QtGui.QPainter(self.qpicture)
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# We set the pen of all polygons once
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if self.edgecolors is None:
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p.setPen(fn.mkPen(QtGui.QColor(0, 0, 0, 0)))
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else:
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p.setPen(fn.mkPen(self.edgecolors))
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if self.antialiasing:
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p.setRenderHint(QtGui.QPainter.RenderHint.Antialiasing)
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## Prepare colormap
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# First we get the LookupTable
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pos = [i[0] for i in Gradients[self.cmap]['ticks']]
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color = [i[1] for i in Gradients[self.cmap]['ticks']]
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cmap = ColorMap(pos, color)
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lut = cmap.getLookupTable(0.0, 1.0, 256)
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# Second we associate each z value, that we normalize, to the lut
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norm = self.z - self.z.min()
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norm = norm/norm.max()
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norm = (norm*(len(lut)-1)).astype(int)
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# Go through all the data and draw the polygons accordingly
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for xi in range(self.z.shape[0]):
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for yi in range(self.z.shape[1]):
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# Set the color of the polygon first
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c = lut[norm[xi][yi]]
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p.setBrush(fn.mkBrush(QtGui.QColor(c[0], c[1], c[2])))
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polygon = QtGui.QPolygonF(
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[QtCore.QPointF(self.x[xi][yi], self.y[xi][yi]),
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QtCore.QPointF(self.x[xi+1][yi], self.y[xi+1][yi]),
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QtCore.QPointF(self.x[xi+1][yi+1], self.y[xi+1][yi+1]),
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QtCore.QPointF(self.x[xi][yi+1], self.y[xi][yi+1])]
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)
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# DrawConvexPlygon is faster
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p.drawConvexPolygon(polygon)
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p.end()
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self.update()
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self.prepareGeometryChange()
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if shapeChanged:
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self.informViewBoundsChanged()
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def paint(self, p, *args):
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if self.z is None:
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return
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p.drawPicture(0, 0, self.qpicture)
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def setBorder(self, b):
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self.border = fn.mkPen(b)
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self.update()
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def width(self):
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if self.x is None:
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return None
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return np.max(self.x)
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def height(self):
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if self.y is None:
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return None
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return np.max(self.y)
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def boundingRect(self):
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if self.qpicture is None:
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return QtCore.QRectF(0., 0., 0., 0.)
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return QtCore.QRectF(self.qpicture.boundingRect())
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