2021-01-05 06:01:30 +00:00
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# -*- coding: utf-8 -*-
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"""
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This example demonstrates the use of ImageView, which is a high-level widget for
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displaying and analyzing 2D and 3D data. ImageView provides:
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1. A zoomable region (ViewBox) for displaying the image
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2. A combination histogram and gradient editor (HistogramLUTItem) for
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controlling the visual appearance of the image
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3. A timeline for selecting the currently displayed frame (for 3D data only).
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4. Tools for very basic analysis of image data (see ROI and Norm buttons)
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"""
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## Add path to library (just for examples; you do not need this)
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import initExample
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import numpy as np
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from pyqtgraph.Qt import QtCore, QtGui
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import pyqtgraph as pg
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app = pg.mkQApp()
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## Create window with ImageView widget
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win = QtGui.QMainWindow()
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win.resize(1000,800)
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lw = pg.GraphicsLayoutWidget()
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lw.setFixedWidth(1000)
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lw.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding)
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scr = QtGui.QScrollArea()
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scr.setVerticalScrollBarPolicy(QtCore.Qt.ScrollBarAlwaysOn)
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scr.setWidget(lw)
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win.setCentralWidget(scr)
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win.show()
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win.setWindowTitle('pyqtgraph example: Color maps')
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## Create color map test image
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width = 3*256
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height = 32
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img = np.zeros( (width, height) )
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gradient = np.linspace(0.05, 0.95, width)
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modulation = np.zeros(width)
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for idx in range(width):
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modulation[idx] = -0.05 * np.sin( 200 * np.pi * idx/width )
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for idx in range(height):
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img[:,idx] = gradient + (idx/(height-1)) * modulation
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num_bars = 0
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lw.addLabel('=== local color maps ===')
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num_bars += 1
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lw.nextRow()
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list_of_maps = pg.colormap.listMaps()
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for map_name in list_of_maps:
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num_bars += 1
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lw.addLabel(map_name)
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cmap = pg.colormap.get(map_name)
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imi = pg.ImageItem()
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imi.setImage(img)
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imi.setLookupTable( cmap.getLookupTable(alpha=True) )
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vb = lw.addViewBox(lockAspect=True, enableMouse=False)
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vb.addItem(imi)
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lw.nextRow()
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lw.addLabel('=== Matplotlib import ===')
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num_bars += 1
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lw.nextRow()
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list_of_maps = pg.colormap.listMaps('matplotlib')
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for map_name in list_of_maps:
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num_bars += 1
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lw.addLabel(map_name)
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cmap = pg.colormap.get(map_name, source='matplotlib', skipCache=True)
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if cmap is not None:
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imi = pg.ImageItem()
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imi.setImage(img)
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imi.setLookupTable( cmap.getLookupTable(alpha=True) )
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vb = lw.addViewBox(lockAspect=True, enableMouse=False)
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vb.addItem(imi)
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lw.nextRow()
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lw.addLabel('=== ColorCET import ===')
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num_bars += 1
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lw.nextRow()
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list_of_maps = pg.colormap.listMaps('colorcet')
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for map_name in list_of_maps:
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num_bars += 1
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lw.addLabel(map_name)
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cmap = pg.colormap.get(map_name, source='colorcet', skipCache=True)
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if cmap is not None:
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imi = pg.ImageItem()
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imi.setImage(img)
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imi.setLookupTable( cmap.getLookupTable(alpha=True) )
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vb = lw.addViewBox(lockAspect=True, enableMouse=False)
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vb.addItem(imi)
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lw.nextRow()
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lw.setFixedHeight(num_bars * (height+5) )
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if __name__ == '__main__':
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2021-03-22 18:17:12 +00:00
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pg.mkQApp().exec_()
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