53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
from PyQt5 import QtWidgets
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import matplotlib
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matplotlib.use('Qt5Agg')
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from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg, NavigationToolbar2QT as NavigationToolbar
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from matplotlib.figure import Figure
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from memdb import mem
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class MplCanvas(FigureCanvasQTAgg):
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def __init__(self, parent=None, width=5, height=4, dpi=100):
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fig = Figure(figsize=(width, height), dpi=dpi)
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self.axes = fig.add_subplot(111)
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fig.tight_layout()
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super(MplCanvas, self).__init__(fig)
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class BaseGraph(QtWidgets.QWidget):
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"""
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Widget with embedded matplotlib graph & navigation toolbar
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Reference: https://www.mfitzp.com/tutorials/plotting-matplotlib/
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"""
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canv = None
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def __init__(self, x):
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super().__init__(x)
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self.canv = MplCanvas(self)
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# Example
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# canv.axes.plot([0,1,2,3,4], [10,1,20,3,40])
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toolbar = NavigationToolbar(self.canv, self)
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layout = QtWidgets.QVBoxLayout()
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layout.addWidget(toolbar)
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layout.addWidget(self.canv)
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self.setLayout(layout)
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def plot_data(self):
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self.canv.axes.plot(mem['x_data'], mem['y_data'])
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def plot(self):
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self.canv.axes.clear()
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self.plot_data()
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self.canv.draw()
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print("attempted plot")
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class RawDataGraph(BaseGraph):
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pass
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class PeaksGraph(BaseGraph):
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def plot_data(self):
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for i in mem['groups_correlated']:
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self.canv.axes.plot(i)
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class TimeConstantGraph(BaseGraph):
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pass # no modifications thus far |