-
Notifications
You must be signed in to change notification settings - Fork 23
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
autotune: add data selector for manual range selection
- Loading branch information
Showing
3 changed files
with
155 additions
and
46 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,133 @@ | ||
| from PyQt5.QtWidgets import QDialog, QVBoxLayout, QHBoxLayout, QPushButton, QLabel, QFormLayout, QRadioButton, QMessageBox | ||
|
|
||
| import matplotlib.pyplot as plt | ||
| from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas | ||
| from matplotlib.widgets import SpanSelector | ||
|
|
||
| import numpy as np | ||
|
|
||
| from data_extractor import getInputOutputData | ||
|
|
||
| class DataSelectionWindow(QDialog): | ||
| def __init__(self, filename): | ||
| QDialog.__init__(self) | ||
|
|
||
| self.file_name = filename | ||
|
|
||
| self.figure = plt.figure(1) | ||
| self.canvas = FigureCanvas(self.figure) | ||
|
|
||
| layout_v = QVBoxLayout() | ||
|
|
||
| layout_v.addWidget(self.canvas) | ||
|
|
||
| xyz_group = QHBoxLayout() | ||
| r_x = QRadioButton("x") | ||
| r_x.setChecked(True) | ||
| r_y = QRadioButton("y") | ||
| r_z = QRadioButton("z") | ||
| xyz_group.addWidget(QLabel("Axis")) | ||
| xyz_group.addWidget(r_x) | ||
| xyz_group.addWidget(r_y) | ||
| xyz_group.addWidget(r_z) | ||
| r_x.clicked.connect(self.loadXData) | ||
| r_y.clicked.connect(self.loadYData) | ||
| r_z.clicked.connect(self.loadZData) | ||
|
|
||
| layout_v.addLayout(xyz_group) | ||
|
|
||
| btn_ok = QPushButton("Load selection") | ||
| btn_ok.clicked.connect(self.loadLog) | ||
| layout_v.addWidget(btn_ok) | ||
|
|
||
| self.setLayout(layout_v) | ||
|
|
||
| self.refreshInputOutputData() | ||
|
|
||
| def loadLog(self): | ||
| if self.t_stop > self.t_start: | ||
| (self.t, self.u, self.y) = getInputOutputData(self.file_name, self.axis, self.t_start, self.t_stop) | ||
| self.accept() | ||
| else: | ||
| self.printRangeError() | ||
|
|
||
| def printRangeError(self): | ||
| msg = QMessageBox() | ||
| msg.setIcon(QMessageBox.Critical) | ||
| msg.setWindowTitle("Error") | ||
| msg.setText("Range is invalid") | ||
| msg.exec_() | ||
|
|
||
| def loadXData(self): | ||
| if self.file_name: | ||
| self.refreshInputOutputData(0) | ||
|
|
||
| def loadYData(self): | ||
| if self.file_name: | ||
| self.refreshInputOutputData(1) | ||
|
|
||
| def loadZData(self): | ||
| if self.file_name: | ||
| self.refreshInputOutputData(2) | ||
|
|
||
| def refreshInputOutputData(self, axis=0): | ||
| if self.file_name: | ||
| self.axis = axis | ||
| (self.t, self.u, self.y) = getInputOutputData(self.file_name, axis) | ||
| self.plotInputOutput(redraw=True) | ||
|
|
||
| def plotInputOutput(self, redraw=False): | ||
| self.figure.clear() | ||
| self.ax = self.figure.add_subplot(1,1,1) | ||
| self.ax.plot(self.t, self.u, self.t, self.y) | ||
| self.ax.set_title("Click and drag to select data range") | ||
| self.ax.set_xlabel("Time (s)") | ||
| self.ax.set_ylabel("Amplitude") | ||
| self.ax.legend(["Input", "Output"]) | ||
|
|
||
| self.span = SpanSelector(self.ax, self.onselect, 'horizontal', useblit=False, | ||
| props=dict(alpha=0.2, facecolor='green'), interactive=True) | ||
|
|
||
| self.t_start = self.t[0] | ||
| self.t_stop = self.t[-1] | ||
|
|
||
| self.canvas.mpl_connect('scroll_event', self.zoom_fun) | ||
|
|
||
| self.canvas.draw() | ||
|
|
||
| def onselect(self, xmin, xmax): | ||
| indmin, indmax = np.searchsorted(self.t, (xmin, xmax)) | ||
| indmax = min(len(self.t) - 1, indmax) | ||
| indmin = min(indmin, indmax) | ||
|
|
||
| self.t_start = self.t[indmin] | ||
| self.t_stop = self.t[indmax] | ||
| self.ax.set_xlim(self.t_start - 1.0, self.t_stop + 1.0) | ||
| self.canvas.draw() | ||
|
|
||
| def zoom_fun(self, event): | ||
| base_scale = 1.1 | ||
| # get the current x and y limits | ||
| cur_xlim = self.ax.get_xlim() | ||
| cur_xrange = cur_xlim[1] - cur_xlim[0] | ||
| xdata = event.xdata # get event x location | ||
| if xdata is None or xdata < cur_xlim[0] or xdata > cur_xlim[1]: | ||
| return | ||
|
|
||
| if event.button == 'up': | ||
| # deal with zoom in | ||
| scale_factor = 1/base_scale | ||
| elif event.button == 'down': | ||
| # deal with zoom out | ||
| scale_factor = base_scale | ||
| else: | ||
| # deal with something that should never happen | ||
| scale_factor = 1 | ||
| # set new limits | ||
| new_x_min = xdata - (xdata - cur_xlim[0])*scale_factor | ||
| new_x_max = xdata + (xdata - new_x_min) / (xdata - cur_xlim[0]) * (cur_xlim[1] - xdata) | ||
|
|
||
| new_x_min = max(new_x_min, self.t[0] - 1.0) | ||
| new_x_max = min(new_x_max, self.t[-1] + 1.0) | ||
| self.ax.set_xlim([new_x_min, new_x_max]) | ||
| self.canvas.draw() |