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src/p/y/pymca-HEAD/PyMca5/PyMcaGui/plotting/PlotWidget.py   pymca(Download)
import sys
import os
from PyMca5.PyMcaGraph import Plot
 
SVG = True

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/XASScanNormalizationPlugin.py   pymca(Download)
 
if __name__ == "__main__":
    from PyMca5.PyMcaGraph import Plot
    x = numpy.arange(100.)
    y = x * x

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/RegularMeshPlugin.py   pymca(Download)
 
if __name__ == "__main__":
    from PyMca5.PyMcaGraph import Plot
    app = qt.QApplication([])
    DEBUG = 1

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/NormalizationPlugins.py   pymca(Download)
 
if __name__ == "__main__":
    from PyMca5.PyMcaGraph import Plot
    x = numpy.arange(100.)
    y = x * x

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/MultipleScanToMeshPlugin.py   pymca(Download)
 
if __name__ == "__main__":
    from PyMca5.PyMcaGraph import Plot
    app = qt.QApplication([])
    #w = ConfigurationWidget()

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/MotorInfoPlugin.py   pymca(Download)
    # Basic test setup
    import numpy
    from PyMca5.PyMcaGraph import Plot
    from PyMca5.PyMcaGui import PyMcaQt as qt
    app = qt.QApplication([])

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/MedianFilterScanPlugin.py   pymca(Download)
    from PyMca5.PyMcaGui import PyMcaQt as qt
    app = qt.QApplication([])
    from PyMca5.PyMcaGraph import Plot
    x = numpy.arange(100.)
    y = x * x

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/MathPlugins.py   pymca(Download)
 
if __name__ == "__main__":
    from PyMca5.PyMcaGraph import Plot
    x = numpy.arange(100.)
    y = x * x

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/BackgroundScanPlugin.py   pymca(Download)
    from PyMca5.PyMcaGui import PyMcaQt as qt
    app = qt.QApplication([])
    from PyMca5.PyMcaGraph import Plot
    x = numpy.arange(100.)
    y = x * x

src/p/y/pymca-HEAD/PyMca5/PyMcaPlugins/AlignmentScanPlugin.py   pymca(Download)
    from PyMca5 import PyMcaQt as qt
    app = qt.QApplication([])
    from PyMca5.PyMcaGraph import Plot
    i = numpy.arange(1000.)
    y1 = 10.0 + 5000.0 * numpy.exp(-0.01*(i-50)**2)