millis(), A0, A1, A2, A3, A4, A5
format are coming back from the Arduino on the serial port. It's hardcoded with port and speed, but easy to edit. I think the indents are OK, but this blog platform strips out the tabs on pasting...
Update: I did all of this with an arduino micro. Like the Leonardo, it doesn't reboot when you re-initialize the USB. When I switched to the UNO with the same code, I had to adjust it so it waited and read a few more lines before acting on the data. If you don't want to disrupt the UNO, you probably need to make a direct RS232 connection through an FTDI cable, rather than the onboard USB.
import matplotlib.pyplot as plt
import time
import serial
plt.ion()
ser = serial.Serial('/dev/tty.usbmodemfd1471',57600,timeout=1)
line = ser.readline() # throw away any part lines
while(ser.inWaiting() < 100): # make sure something is coming
now = 0.0
t=[] # initialize the data lists
d1=[]
d2=[]
d3=[]
d4=[]
d5=[]
d6=[]
while (ser.isOpen()):
line = ser.readline() # read a line of text
mylist = line.split(",") # parse it into CSV tokens
#print mylist
now = float(mylist[0])/1000 # time now in seconds
t.append(float(mylist[0])/1000) # from first element as milliseconds
d1.append(float(mylist[1])) # six data elements added to lists
d2.append(float(mylist[2]))
d3.append(float(mylist[3]))
d4.append(float(mylist[4]))
d5.append(float(mylist[5]))
d6.append(float(mylist[6]))
if(ser.inWaiting() < 100): # redraw only if you are caught up
plt.clf() # clear the figure
plt.plot(t,d1) # plot a line for each set of data
plt.plot(t,d2)
plt.plot(t,d3)
plt.plot(t,d4)
plt.plot(t,d5)
plt.plot(t,d6)
plt.axis([now-60,now,min(d1)-50,max(d1)+50])
plt.xlabel("Time Since Boot [s]")
plt.draw()
//// AvgDAQ
// Makes the potentially dangerous assumption that the analog pins are numbered in sequence, starting at A0
//// Constants
int d = 1;
int navg = 10;
int nan = 6;
int nrpt = 500;
int ndisp = 20000;
void setup() {
for(int i = 0; i < nan; i++) pinMode(A0 + i, INPUT);
Serial.begin(57600);
analogReference(INTERNAL); // 2.56 volts on the YUN, 1.1 on UNO
//analogReference(EXTERNAL); // based on the input to AREF
Serial.print("\n\nAvgDAQ\n");
}
void loop() {
static int linesShown = 0;
unsigned long sums[10]; // doesn't want to work with NAN as a dimension
getAvgDAQ(sums);
if(linesShown < ndisp){
showSums(sums);
linesShown++;
}
while(millis()%nrpt);
}
void getAvgDAQ(unsigned long *sums) {
sums[nan] = (unsigned long) millis();
for(int i = 0;i < nan;i++) sums[i] = 0;
for(int i = 0;i < navg;i++) for(int j = 0;j < nan;j++){
sums[j] += analogRead(A0+j);
delayMicroseconds(d);
}
for(int i=0;i < nan;i++){
//sums[i] *= 1404; //convert to mv for 1.404 V AREF
//sums[i] *= 2560; //convert to mv for 2.56 V internal ref
sums[i] *= 1100; //convert to mv for 1.10 V internal ref
sums[i] /= 1024;
sums[i] /= navg; // average over NAVG samples
}
}
void showSums(unsigned long *sums) {
char scratch[80];
Serial.print(sums[nan]);
scratch[0]=0; // when in doubt code dangerously, writing a string over itself ;-)
for(int i = 0;i < nan;i++) sprintf(scratch,"%s, %5d",scratch,(int) sums[i]);
sprintf(scratch,"%s, *",scratch);
Serial.print(scratch);
for(int i=0;i<80;i++) scratch[i] = '.';
scratch[79] = 0;
for(int i=0;i<nan;i++){
long j = sums[i] / 20;
if(j > 78) j = 78;
scratch[j] = '0'+i;
}
Serial.println(scratch);
}
sudo easy_install pip
sudo pip install pyserial
sudo pip install matplotlib
