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fix: removed scipy from eiger_plot.py

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wyzula-jan
2023-09-12 15:59:38 +02:00
parent 7b844c805d
commit 0e634ee2ac
2 changed files with 29 additions and 35 deletions
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bec_widgets/examples/eiger_plot/eiger_plot.py
+27 -26
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@@ -21,7 +21,8 @@ from PyQt5.QtWidgets import (
QFrame,
)
from pyqtgraph.Qt import uic
from scipy.stats import multivariate_normal
# from scipy.stats import multivariate_normal
class EigerPlot(QWidget):
@@ -68,7 +69,7 @@ class EigerPlot(QWidget):
def hook_signals(self):
# Buttons
self.pushButton_test.clicked.connect(self.start_sim_stream)
# self.pushButton_test.clicked.connect(self.start_sim_stream)
self.pushButton_mask.clicked.connect(self.load_mask_dialog)
self.pushButton_delete_mask.clicked.connect(self.delete_mask)
self.pushButton_help.clicked.connect(self.show_help_dialog)
@@ -262,30 +263,30 @@ class EigerPlot(QWidget):
###############################
# just simulations from here
###############################
def start_sim_stream(self):
sim_stream_thread = threading.Thread(target=self.sim_stream, daemon=True)
sim_stream_thread.start()
def sim_stream(self):
for i in range(100):
# Generate 100x100 image of random noise
self.image = np.random.rand(100, 100) * 0.2
# Define Gaussian parameters
x, y = np.mgrid[0:50, 0:50]
pos = np.dstack((x, y))
# Center at (25, 25) longer along y-axis
rv = multivariate_normal(mean=[25, 25], cov=[[25, 0], [0, 80]])
# Generate Gaussian in the first quadrant
gaussian_quadrant = rv.pdf(pos) * 40
# Place Gaussian in the first quadrant
self.image[0:50, 0:50] += gaussian_quadrant * 10
self.update_signal.emit()
time.sleep(0.1)
# def start_sim_stream(self):
# sim_stream_thread = threading.Thread(target=self.sim_stream, daemon=True)
# sim_stream_thread.start()
#
# def sim_stream(self):
# for i in range(100):
# # Generate 100x100 image of random noise
# self.image = np.random.rand(100, 100) * 0.2
#
# # Define Gaussian parameters
# x, y = np.mgrid[0:50, 0:50]
# pos = np.dstack((x, y))
#
# # Center at (25, 25) longer along y-axis
# rv = multivariate_normal(mean=[25, 25], cov=[[25, 0], [0, 80]])
#
# # Generate Gaussian in the first quadrant
# gaussian_quadrant = rv.pdf(pos) * 40
#
# # Place Gaussian in the first quadrant
# self.image[0:50, 0:50] += gaussian_quadrant * 10
#
# self.update_signal.emit()
# time.sleep(0.1)
if __name__ == "__main__":