Code:
#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Button, Slider, RadioButtons
import sys
import time
with open('./rdata.txt') as f:
for i, l in enumerate(f):
pass
i+=1
fig, ax = plt.subplots(figsize=(17, 10))
plt.hold(False) # <<<< Clears the plotting area when a new plot is initiated
plt.subplots_adjust(bottom=0.25, top= 0.90)
#axcolor = 'lightblue'
axcolor = 'lightgrey'
#axcolor = 'lightgoldenrodyellow'
#axcolor = 'white'
ax.set_ylabel('Voltage')
ax.set_title('Micropython Scope')
def endit(mock):
sys.exit()
def update(val):
howmany = int(axvals.val)
def writefile(dummy):
total = int(round(axvals2.val))
print("hello" + str(total))# this is just a test to make sure function is called by my code
# this will need to be programmed
# to write the number of seconds to sample
# to the SD card on the micropython (MP) board.
# then some part of the program needs to wait for the
#samples to be taken and written to another file on the SD card.
# MP will read the command file and delete it then
# it will write the file and then write a small dummy file to signify
# that all the data has been written.
# The program, after it has waited say 1 second longer than the sample time
# will read the data and do the plot.
def static_plot(dummy):
ydata = []
ax1 = plt.axes ()
myfile = open("rdata.txt", "r")
for myline in myfile:
q = myline
ydata.append(q)
file.close(myfile)
fst = (int(ax1st.val))
lst = int(axvals.val) + fst
line, = plt.plot (ydata[fst:lst])
plt.draw()
def plotit(dummy):
howmany = int(axvals.val)
wait_time = (int(axvals1.val))
top = i
plt.ion() # set plot to animated
xdata = []
c = 0
for a in range(0,top):
xdata.append(a)
c+=1
ydata = []
ax1 = plt.axes ()
myfile = open("rdata.txt", "r")
for myline in myfile:
q = myline
ydata.append(q)
file.close(myfile)
c = 0
# Make plot
line, = plt.plot (ydata[0:howmany])
for p in range(0, top ):
del ydata [ 0 ]
line.set_xdata (np.arange ( len (ydata)))
line.set_ydata (ydata) # update the data
plt.draw () # update the plot
op='Plotting ' + str((int(p/10))*10)
ax.set_title(op)
time.sleep(wait_time)
axvals = plt.axes([0.36, 0.05, 0.30, 0.025], axisbg=axcolor)
axvals = Slider(axvals, 'Points to\n display', 10, 100, valfmt='%1.0f', facecolor='lightgreen')
axvals1 = plt.axes([0.36, 0.10, 0.30, 0.025], axisbg=axcolor)
axvals1 = Slider(axvals1, 'Pause', 0, 1.0, valfmt='%1.2f', facecolor='lightgreen')
axvals2 = plt.axes([0.08, 0.15, 0.20, 0.025], axisbg=axcolor)
axvals2 = Slider(axvals2, 'Seconds\n to Record', 0.0, 60, valfmt='%1.0f', facecolor='lightgreen')
ax1st = plt.axes([0.36, 0.15, 0.30, 0.025], axisbg=axcolor)
ax1st = Slider(ax1st, '1st Point\nto display', 1, 100, valfmt='%1.0f', facecolor='lightgreen')
axplot = plt.axes([0.74, 0.05, 0.07, 0.075])
aplot = Button(axplot, 'Dynamic\nPlot')
aplot.on_clicked(plotit)
axstat = plt.axes([0.82, 0.05, 0.07, 0.075])
astat = Button(axstat, 'Static\nPlot')
astat.on_clicked(static_plot)
axout = plt.axes([0.90, 0.05, 0.07, 0.075])
aout = Button(axout, 'Exit')
aout.on_clicked(endit)
axnum = plt.axes([0.13, 0.05, 0.07, 0.075])
anum = Button(axnum, 'Start\nmeasuring')
anum.on_clicked(writefile)
plt.show()
Forget the comment below I found the needed information see it in the code at line 12
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