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12.1.10.3.2. Matplotlib auto update#
import matplotlib
import matplotlib.pyplot as plt
from itomUi import ItomUi
from itom import ui
matplotlib.use("module://mpl_itom.backend_itomagg")
class MatplotGuiAutoUpdate(ItomUi):
def __init__(self):
ItomUi.__init__(
self,
"matplotlibGuiAutoUpdate.ui",
ui.TYPEWINDOW,
childOfMainWindow=True,
deleteOnClose=True,
)
# the deleteOnClose = True argument will not only hide the figure if the close-button is pressed,
# but also destroy it. Then, the destroyed signal is emitted, caught by the slot self.on_mainWindow_destroyed.
# This can be used, to delete certain things.
self.gui.btnStop["enabled"] = False
self.timerID = None
self.counter = 1
self.fignum = (
max(
[
0,
]
+ plt.get_fignums()
)
+ 1
) # guarantee to get a new matplotlib figure number
if not "__version__" in ItomUi.__dict__ or ItomUi.__version__ < "2.1":
# in earlier versions of itom, an auto-connection to methods of the gui itself was not possible.
# From ItomUi.__version__ >= 2.1 on, the dialog or window itself can be auto-connected by its
# object name.
self.gui.connect("destroyed()", self.on_mainWindow_destroyed)
@ItomUi.autoslot("")
def on_btnStart_clicked(self):
if self.timerID is None:
# start the timer that calls the method 'timeout' every 2 seconds
self.timerID = timer(2000, self.timeout)
self.timeout()
self.gui.btnStart["enabled"] = False
self.gui.btnStop["enabled"] = True
@ItomUi.autoslot("")
def on_btnStop_clicked(self):
if not self.timerID is None:
# stop and delete the timer, if started
self.timerID.stop()
self.timerID = None
self.gui.btnStart["enabled"] = True
self.gui.btnStop["enabled"] = False
# for itom <= 2.1, this auto-slot will raise a runtime error, however it is manually connected in the constructor of this class.
@ItomUi.autoslot("")
def on_mainWindow_destroyed(self):
"""The windows was closed and destroyed. Stop the timer and tell matplotlib to close the figure"""
if not self.timerID is None:
self.timerID.stop()
self.timerID = None
plt.close(self.fignum)
def timeout(self):
print("update plot")
canvas = self.gui.matplotlibPlot # Reference to matplotlibPlot widget
fig = plt.figure(num=self.fignum, canvas=canvas)
if len(fig.axes) == 0:
# create a new subplot in the figure
ax = fig.add_subplot(111)
else:
# reuse the existing first subplot
ax = fig.axes[0]
ax.clear()
ax.imshow(dataObject.randN([100, 100], "uint8"), cmap=plt.cm.gray)
ax.set_title("title of plot [%i]" % self.counter)
self.counter += 1
# Move left and bottom spines outward by 10 points
ax.spines["left"].set_position(("outward", 10))
ax.spines["bottom"].set_position(("outward", 10))
# Hide the right and top spines
ax.spines["right"].set_visible(False)
ax.spines["top"].set_visible(False)
# Only show ticks on the left and bottom spines
ax.yaxis.set_ticks_position("left")
ax.xaxis.set_ticks_position("bottom")
plt.show()
def show(self):
ret = self.gui.show()
if __name__ == "__main__":
gui = MatplotGuiAutoUpdate()
gui.show()
Total running time of the script: (0 minutes 0.119 seconds)