Nobody has the com8 device to try your code. Just start to make the app it
this way, please:
*import numpy as npimport pyqtgraph as pg*
*import serialapp = pg.Qt.QtGui.QApplication([]) p =
pg.plot()p.setWindowTitle('live plot from serial')curve = p.plot()data =
[0]raw=serial.Serial("COM8",115200)while p.isVisible(): line =
raw.readline() line=str(line) line=line.split(' ') if
len(line)>4: line=line[2] line=int(line) else:
continue data.append(line) xdata = np.array(data,
dtype='int32') curve.setData(xdata) app.processEvents() *
On Sat, Jul 6, 2019 at 3:12 PM WILMER CONTRERAS SEPULVEDA <
[email protected]> wrote:
>
> [image: image.png]Hi Guys, how are you?
>
> I am so sorry, this is the new version of my code, I am trying to plot
> just one graph with the data which come from the serial port (PORT8),
> This is the code:
>
> from pyqtgraph.Qt import QtGui, QtCore
> from pyqtgraph.ptime import time
> import numpy as np
> import pyqtgraph as pg
>
> import serial
>
> app = QtGui.QApplication([])
>
> p = pg.plot()
> p.setWindowTitle('live plot from serial')
> curve = p.plot()
> data = [0]
> raw=serial.Serial("COM8",115200)
>
> def leer():
> while True:
> line = raw.readline()
> line=str(line)
> line=line.split(' ')
> if len(line)>4:
> line=line[2]
> line=int(line)
> return(line)
> else:
> continue
>
> def update():
> global curve, data
> data.append(int(leer()))
> curve.setData(data)
> app.processEvents()
>
> timer = QtCore.QTimer()
> timer.timeout.connect(update)
> timer.start(50)
>
> if __name__ == '__main__':
> import sys
> if (sys.flags.interactive != 1) or not hasattr(QtCore, 'PYQT_VERSION'):
> QtGui.QApplication.instance().exec_()
>
> raw.close()
>
> And I always get the same answer from the program:
> [image: image.png]
> El sáb., 6 jul. 2019 a las 16:29, <[email protected]> escribió:
>
>> Hi again,
>>
>> I have no your serial device, but your app should looks like:
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> *import pyqtgraph as pgimport randomapp = pg.Qt.QtGui.QApplication([]) p
>> = pg.plot()p.setWindowTitle('live plot from random')curve = p.plot()data =
>> [0]while p.isVisible(): line = random.randint(0, 255)
>> data.append(int(line)) xdata = np.array(data, dtype='int32')
>> curve.setData(xdata) app.processEvents()*
>>
>>
>>
>> So you could start with this code:
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> *import numpy as npimport pyqtgraph as pgimport serialapp =
>> pg.Qt.QtGui.QApplication([]) p = pg.plot()p.setWindowTitle('live plot from
>> serial')curve = p.plot()data = [0]raw=serial.Serial("COM8",115200)while
>> p.isVisible(): line = raw.readline() line=str(line)
>> line=line.split(' ') if len(line)>4: line=line[2]
>> line=int(line) else: continue data.append(int(line))
>> xdata = np.array(data, dtype='int32') curve.setData(xdata)
>> app.processEvents()*
>>
>>
>> Next thing is probably to implement Marc's idea of initialization of a
>> larger array.
>>
>> Cheers,
>> Vasilije
>>
>>
>>
>> On Sat, Jul 6, 2019 at 10:16 AM Marc Le Roy <[email protected]> wrote:
>>
>>> I would add that this line of code is highly inefficient since a new
>>> array of increasing size is created at each update:
>>> xdata = np.array(data, dtype='float64')
>>>
>>> I would allocate a large array at initialization, and if required
>>> increase its size using numpy.ndarray.resize with a strategy avoiding to do
>>> it too frequently.
>>>
>>> Marc
>>>
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>
>
> --
>
> *Wilmer Contreras Sepulveda*
>
> *Grupo de Investigación en Desarrollo de Microelectronica Aplicada*
> *Universidad Francisco de Paula Santander *
>
>
>
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