ejung/keithley-3706_read
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compare: ejung:3f0739f6ff6ca4220d355dc63f984ba5b2a7996b
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ejung:master

2 Commits
5517ad06ee ... 3f0739f6ff

Author SHA1 Message Date
Eggert Jung
3f0739f6ff add argument parser and option to read from file 2022-07-20 17:46:14 +02:00
Eggert Jung
1d73ff5d81 move channel mapping to seperate file 2022-07-20 17:43:08 +02:00
2 changed files with 147 additions and 125 deletions
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94
channels.py Normal file
View File

@@ -0,0 +1,94 @@
map = [
(1,9),
(1,1),
(3,8),
(1,4),
(3,6),
(2,4),
(1,7),
(3,10),
(1,8),
(2,10),
(2,8),
(3,4),
(2,7),
(1,5),
(3,7),
(2,1),
(2,6),
(3,3),
(1,6),
(2,3),
(2,9),
(1,3),
(3,9),
(3,2),
(3,5),
(2,2),
(2,5),
(1,2),
(1,10),
(3,1),
(4,7),
(5,8),
(4,6),
(6,2),
(5,5),
(6,3),
(4,1),
(5,7),
(4,4),
(5,6),
(4,5),
(6,4),
(4,2),
(6,5),
(4,3),
(5,9),
(5,4),
(6,1),
(5,3),
(6,6),
(4,8),
(6,7),
(4,9),
(6,8),
(5,2),
(6,9),
(5,1),
(6,10),
(4,10),
(5,10),
(7,2),
(7,10),
(9,3),
(7,7),
(9,5),
(8,7),
(7,4),
(9,1),
(7,3),
(8,1),
(8,3),
(9,7),
(8,4),
(7,6),
(9,4),
(8,10),
(8,5),
(9,8),
(7,5),
(8,8),
(8,2),
(7,8),
(9,2),
(9,9),
(9,6),
(8,9),
(8,6),
(7,9),
(7,1),
(9,10)
]

170
kisli.py
View File

@@ -24,10 +24,13 @@ import socket
import struct import struct
import math import math
import time import time
import argparse
import numpy as np import numpy as np
from matplotlib import pyplot from matplotlib import pyplot
import channels
echoCmd = 0 echoCmd = 0
def instrConnect(mySocket, myAddress, myPort, timeOut, doReset, doIdQuery): def instrConnect(mySocket, myAddress, myPort, timeOut, doReset, doIdQuery):
@@ -95,105 +98,10 @@ def diff_4W_mess(s, ch1, ch2):
return float(instrQuery(s, "print(dmm.measure())", 64)) return float(instrQuery(s, "print(dmm.measure())", 64))
def get_mapped(arr): def get_mapped(arr):
map = [
(1,9),
(1,1),
(3,8),
(1,4),
(3,6),
(2,4),
(1,7),
(3,10),
(1,8),
(2,10),
(2,8),
(3,4),
(2,7),
(1,5),
(3,7),
(2,1),
(2,6),
(3,3),
(1,6),
(2,3),
(2,9),
(1,3),
(3,9),
(3,2),
(3,5),
(2,2),
(2,5),
(1,2),
(1,10),
(3,1),
(4,7),
(5,8),
(4,6),
(6,2),
(5,5),
(6,3),
(4,1),
(5,7),
(4,4),
(5,6),
(4,5),
(6,4),
(4,2),
(6,5),
(4,3),
(5,9),
(5,4),
(6,1),
(5,3),
(6,6),
(4,8),
(6,7),
(4,9),
(6,8),
(5,2),
(6,9),
(5,1),
(6,10),
(4,10),
(5,10),
(7,2),
(7,10),
(9,3),
(7,7),
(9,5),
(8,7),
(7,4),
(9,1),
(7,3),
(8,1),
(8,3),
(9,7),
(8,4),
(7,6),
(9,4),
(8,10),
(8,5),
(9,8),
(7,5),
(8,8),
(8,2),
(7,8),
(9,2),
(9,9),
(9,6),
(8,9),
(8,6),
(7,9),
(7,1),
(9,10)
]
out = np.zeros(shape=(9, 10)) out = np.zeros(shape=(9, 10))
for i in range(0,90): for i in range(0,90):
x, y = map[i] x, y = channels.map[i]
out[x-1][y-1] = arr[i] out[x-1][y-1] = arr[i]
return out return out
@@ -218,49 +126,69 @@ def done():
instrSend(s, "beeper.beep(0.150, 523)") instrSend(s, "beeper.beep(0.150, 523)")
instrSend(s, "beeper.beep(1.000, 440)") instrSend(s, "beeper.beep(1.000, 440)")
def calc_vector(x, y, arr):
pass
""" ============================================================================================================== """ ==============================================================================================================
MAIN CODE STARTS HERE MAIN CODE STARTS HERE
============================================================================================================== """ ============================================================================================================== """
ip_address = "192.168.0.53" # Place your instrument's IP address here.
my_port = 5025
output_data_path = time.strftime("data_%Y-%m-%d_%H-%M-%S.csv") # This is the output file that is created which parser = argparse.ArgumentParser()
# will hold your readings provided in ASCII parser.add_argument('-fromfile')
# format in a text file. parser.add_argument('-tofile')
parser.add_argument('-ip', default="192.168.0.53")
parser.add_argument('-port', default=5025)
args = parser.parse_args()
ip_address = args.ip
port = args.port
s = socket.socket() # Establish a TCP/IP socket object print(ip_address)
# Open the socket connection
instrConnect(s, ip_address, my_port, 20000, 0, 0)
t1 = time.time() # Start the timer... # reserve space for matrixes
full_matrix = np.zeros(shape=(90, 90))
Configure_Backplane(s) point_specific_matrix = np.zeros(shape=(9, 10))
a = np.zeros(shape=(90, 90))
b = np.zeros(shape=(9, 10))
pyplot.ion() pyplot.ion()
fig, ax = pyplot.subplots() fig, ax = pyplot.subplots()
axim = ax.imshow(full_matrix, interpolation='nearest', cmap='gray', vmin=0, vmax=30)
axim = ax.imshow(a, interpolation='nearest', cmap='gray', vmin=0, vmax=30) t1 = time.time() # Start the timer...
x = 0 if args.fromfile:
y = 0 #TODO check bounds of imported matrix
print() full_matrix = np.genfromtxt(args.fromfile, delimiter='\t')
for ch1 in [*range(1001, 1031)] + [*range(2001, 2031)] + [*range(3001, 3031)]: for row in full_matrix:
point_specific_matrix=get_mapped(row)
axim.set_data(point_specific_matrix)
fig.canvas.flush_events()
else:
s = socket.socket() # Establish a TCP/IP socket object
instrConnect(s, ip_address, port, 20000, 0, 0)
Configure_Backplane(s)
x = 0
y = 0
print()
for ch1 in [*range(1001, 1031)] + [*range(2001, 2031)] + [*range(3001, 3031)]:
for ch2 in [*range(1031, 1061)] + [*range(2031, 2061)] + [*range(3031, 3061)]: for ch2 in [*range(1031, 1061)] + [*range(2031, 2061)] + [*range(3031, 3061)]:
a[x][y]=diff_4W_mess(s, ch1, ch2) full_matrix[x][y]=diff_4W_mess(s, ch1, ch2)
b=get_mapped(a[x]) point_specific_matrix=get_mapped(full_matrix[x])
axim.set_data(b) axim.set_data(point_specific_matrix)
fig.canvas.flush_events() fig.canvas.flush_events()
y+=1 y+=1
y=0 y=0
x+=1 x+=1
done(); done()
# Close the socket connection
instrDisconnect(s) # Close the socket connection
instrDisconnect(s)
if args.tofile:
np.savetxt(args.tofile, full_matrix, delimiter="\t")
t2 = time.time() t2 = time.time()
# Notify the user of completion and the data streaming rate achieved. # Notify the user of completion and the data streaming rate achieved.