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Added test mode and save pickle

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k-teng/k-teng-interactive.py Normal file
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@ -0,0 +1,320 @@
"""
run this before using this library:
ipython -i keithley_interactive.py
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from datetime import datetime as dtime
from sys import exit
from time import sleep
from os import path, makedirs
import pickle as pkl
import json
if __name__ == "__main__":
if __package__ is None:
# make relative imports work as described here: https://peps.python.org/pep-0366/#proposed-change
__package__ = "k-teng"
import sys
from os import path
filepath = path.realpath(path.abspath(__file__))
sys.path.insert(0, path.dirname(path.dirname(filepath)))
from .keithley import keithley as _keithley
from .utility import data
from .utility import file_io
from .utility import testing
_runtime_vars = {
"last-measurement": ""
}
settings = {
"datadir": path.expanduser("~/data"),
"name": "measurement",
"interval": 0.01,
"beep": True,
}
config_path = path.expanduser("~/.config/k-teng.json")
test = False
# global variable for the instrument returned by pyvisa
k = None
def _measure(max_measurements=None, max_points_shown=None, monitor=False):
"""
Monitor the voltage with matplotlib.
@details:
- Resets the buffers
- Opens a matplotlib window and takes measurements depending on settings["interval"]
- Waits for the user to press a key
@param max_points_shown : how many points should be shown at once. None means infinite
@param max_measurements : maximum number of measurements. None means infinite
You can take the data from the buffer afterwards, using save_csv """
global k, settings, test, _runtime_vars
print(f"Starting measurement with:\n\tinterval = {settings['interval']}s\nUse <C-c> to stop. Save the data using 'save_csv()' afterwards.")
_runtime_vars["last_measurement"] = dtime.now().isoformat()
# jupyter:
# clear_output(wait=True)
# plt.plot(data)
# plt.show()
index = []
data = []
if monitor:
plt.ion()
fig = plt.figure()
ax = fig.add_subplot(ylabel="Voltage [V]")
line1, = ax.plot(index, data)
try:
i = 0
while max_measurements is None or i < max_measurements:
index.append(i)
if test:
data.append(testing.testcurve(i))
# data.append(tuple(float(v) for v in instr.query("print(smua.measure.v())").strip('\n').split('\t')))
else:
data.append(k.query("print(smua.measure.v())").strip('\n'))
# data.append(np.random.rand())
print(f"{i:5d} - {data[-1]:.5f} V", end='\r')
if monitor:
# update data
line1.set_xdata(index)
line1.set_ydata(data)
# recalculate limits and set them for the view
ax.relim()
if max_points_shown and i > max_points_shown:
ax.set_xlim(i - max_points_shown, i)
ax.autoscale_view()
# update plot
fig.canvas.draw()
fig.canvas.flush_events()
sleep(settings["interval"])
i += 1
except KeyboardInterrupt:
if monitor:
plt.close(fig)
print("Measurement stopped" + " "*50)
def monitor(max_measurements=None, max_points_shown=None, ):
"""
Monitor the voltage with matplotlib.
@details:
- Resets the buffers
- Opens a matplotlib window and takes measurements depending on settings["interval"]
- Waits for the user to press a key
@param max_points_shown : how many points should be shown at once. None means infinite
@param max_measurements : maximum number of measurements. None means infinite
You can take the data from the buffer afterwards, using save_csv """
_measure(max_measurements=max_measurements, max_points_shown=max_points_shown, monitor=True)
def measure(max_measurements=None):
"""
Measure voltages
@details:
- Resets the buffers
- Measure voltages
- Waits for the user to press a key
@param max_measurements : maximum number of measurements. None means infinite
You can take the data from the buffer afterwards, using save_csv """
_measure(max_measurements=max_measurements, monitor=False)
def get_dataframe():
global k, settings, _runtime_vars
if test:
timestamps = np.arange(0, 50, 0.01)
ydata = np.array([testing.testcurve(t) for t in timestamps])
buffer = np.vstack((timestamps, ydata)).T
else:
buffer = _keithley.collect_buffer(k, 1)
df = data.buffer2dataframe(buffer)
df.basename = file_io.get_next_filename(settings["name"], settings["datadir"])
df.name = f"{df.basename} @ {_runtime_vars['last-measurement']}"
df.columns = ["Time [s]", "Voltage [V]"]
return df
def save_csv():
"""
Saves the contents of nvbuffer1 as .csv
The settings 'datadir' and 'name' are used for determining the filepath:
'datadir/nameXXX.csv', where XXX is the number of files that exist in datadir with the same name.
"""
df = get_dataframe()
filename = settings["datadir"] + "/" + df.basename + ".csv"
df.to_csv(filename, index=False, header=True)
print(f"Saved as '{filename}'")
def save_pickle():
"""
Saves the contents of nvbuffer1 as .pkl
The settings 'datadir' and 'name' are used for determining the filepath:
'datadir/nameXXX.pkl', where XXX is the number of files that exist in datadir with the same name.
"""
df = get_dataframe()
filename = settings["datadir"] + "/" + df.basename + ".pkl"
df.to_pickle(filename)
print(f"Saved as '{filename}'")
def load_dataframe(p:str):
"""
Load a dataframe from file.
@param p : path of the file. If it has 'csv' extension, pandas.read_csv is used, pandas.read_pickle otherwise
"""
if not path.isfile(p):
print(f"ERROR: load_dataframe: File does not exist: {p}")
return None
if p.endswith(".csv"):
df = pd.read_csv(p)
else:
df = pd.read_pickle(p)
return df
def run_script(script_path):
"""
Run a lua script on the Keithley device
@param script_path : relative or absolute path to the .lua script
"""
global k, settings
if test:
print("run_script: Test mode enabled, ignoring call to run_script")
else:
_keithley.run_lua(k, script_path=script_path)
def set(setting, value):
global settings, config_path
if setting in settings:
if type(value) != type(settings[setting]):
print(f"set: setting '{setting}' currently holds a value of type '{type(settings[setting])}'")
return
settings[setting] = value
def save_settings():
with open(config_path, "w") as file:
json.dump(settings, file, indent=4)
def load_settings():
global settings, config_path
with open(config_path, "r") as file:
settings = json.load(file)
settings["datadir"] = path.expanduser(settings["datadir"])
def help(topic=None):
if topic == None:
print("""
Functions:
measure - measure the voltage
monitor - measure the voltage with live monitoring in a matplotlib window
save_csv - save the last measurement as csv file
save_pickle - save the last measurement as pickled pandas dataframe
load_dataframe - load a pandas dataframe from csv or pickle
run_script - run a lua script on the Keithely device
Run 'help(function)' to see more information on a function
Available topics:
imports
device
settings
Run 'help("topic")' to see more information on a topic""")
elif topic in [settings, "settings"]:
print("""Settings:
name: str - name of the measurement, determines filename of 'save_csv'
datadir: str - output directory for the csv files
interval: int - interval (inverse frequency) of the measurements, in seconds
beep: bool - wether the device should beep or not
Functions:
TODO set("setting", value) - set a setting to a value
TODO save_settings() - store the settings as "k-teng.conf" in the working directory
TODO load_settings() - load settings from a file
The global variable 'config_path' determines the path used by save/load_settings. Use -c '<path>' to set another path.
The serach path is:
<working-dir>/k-teng.json
$XDG_CONFIG_HOME/k-teng.json
~/.config/k-teng.json
""")
elif topic == "imports":
print("""Imports:
numpy as np
pandas as pd
matplotlib.pyplot as plt
os.path """)
elif topic == "device":
print("""Device:
The opened pyvisa resource (Keithley device) is the global variable 'k'.
You can interact using pyvisa functions, such as
k.write("command"), k.query("command") etc. to interact with the device.""")
else:
print(topic.__doc__)
def init():
global k, settings, test, config_path
print(r""" ____ __. ______________________ _______ ________
| |/ _| \__ ___/\_ _____/ \ \ / _____/
| < ______ | | | __)_ / | \ / \ ___
| | \ /_____/ | | | \/ | \\ \_\ \
|____|__ \ |____| /_______ /\____|__ / \______ /
\/ \/ \/ \/ 1.0
Interactive Shell for TENG measurements with Keithley 2600B
---
Enter 'help()' for a list of commands""")
from os import environ
if path.isfile("k-teng.json"):
config_path = "k-teng.json"
elif 'XDG_CONFIG_HOME' in environ.keys():
# and path.isfile(environ["XDG_CONFIG_HOME"] + "/k-teng.json"):
config_path = environ["XDG_CONFIG_HOME"] + "/k-teng.json"
else:
config_path = path.expanduser("~/.config/k-teng.json")
from sys import argv
i = 1
while i < len(argv):
if argv[i] in ["-t", "--test"]:
test = True
elif argv[i] in ["-c", "--config"]:
if i+1 < len(argv):
config_path = argv[i+1]
else:
print("-c requires an extra argument: path of config file")
i += 1
i += 1
if not path.isdir(path.dirname(config_path)):
makedirs(path.dirname(config_path))
if path.isfile(config_path):
load_settings()
if not path.isdir(settings["datadir"]):
makedirs(settings["datadir"])
if not test:
from .keithley.keithley import init_keithley
try:
k = init_keithley(beep_success=settings["beep"])
except Exception as e:
print(e)
exit()
else:
print("Running in test mode, device will not be connected.")
if __name__ == "__main__":
init()

0
k-teng/keithley/__init__.py Normal file
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77
k-teng/keithley/keithley.py Normal file
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@ -0,0 +1,77 @@
import pyvisa
import numpy as np
"""
Utility
"""
script_dir = "scripts/"
scripts = {
"buffer_reset": "buffer_reset.lua",
"smua_reset": "smua_reset.lua",
}
for key,val in scripts.items():
scripts[key] = script_dir + scripts[key]
def init_keithley(beep_success=True):
rm = pyvisa.ResourceManager('@py')
resources = rm.list_resources()
if len(resources) < 1:
raise Exception("No resources found.")
elif len(resources) == 1:
print(f"Opening Resource {resources[0]}")
keithley = rm.open_resource(resources[0])
if beep_success: keithley.write("beeper.beep(0.5, 1000)")
return keithley
elif len(resources) > 1:
print(f"Resources: {resources}")
instr = int(input("Select an instrument (0-based index)"))
keithley = rm.open_resource(resources[instr])
if beep_success: keithley.write("beeper.beep(0.5, 1000)")
return keithley
def run_lua(instr, script_path, verbose=False):
"""
Run a lua script from the host on the instrument
@param instr : pyvisa instrument
@param script_path : full path to the script
"""
with open(script_path, "r") as file:
script = file.read()
if verbose: print(f"Running script: {script_path}")
instr.write(script)
def reset(instr, verbose=False):
"""
Reset smua and its buffers
@param instr : pyvisa instrument
"""
run_lua(instr, scripts["smua_reset"], verbose=verbose)
run_lua(instr, scripts["buffer_reset"], verbose=verbose)
def collect_buffer(instr, buffer_nr=1):
"""
Get the buffer as 2D - np.array
@param instr : pyvisa instrument
@param buffer_nr : 1 or 2, for smua.nvbuffer1 or 2
@returns 2D numpy array:
i - ith reading:
0: timestamps
1: readings
"""
if buffer_nr == 2: buffername = "smua.nvbuffer2"
else: buffername = "smua.nvbuffer1"
# instr.write("format.data = format.DREAL\nformat.byteorder = format.LITTLEENDIAN")
# buffer = instr.query_binary_values(f"printbuffer(1, {buffername}.n, {buffername})", datatype='d', container=np.array)
instr.write("format.data = format.ASCII\nformat.asciiprecision = 7")
timestamps = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.timestamps)", container=np.array)
readings = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.readings)", container=np.array)
print(f"readings: {readings}, \ntimestamps: {timestamps}")
buffer = np.vstack((timestamps, readings)).T
return buffer

40
measure.py → k-teng/keithley/measure.py
View File

@ -15,17 +15,23 @@ smua.measure.rangev = 20
"""
script_dir = "scripts/"
scripts = {
"buffer_reset": "buffer_reset.lua",
"smua_reset": "smua_reset.lua",
}
for key,val in scripts.items():
scripts[key] = script_dir + scripts[key]
def run_lua(instr, script_path, verbose=False):
with open(script_dir + script_path, "r") as file:
"""
Run a lua script from the host on the instrument
@param instr : pyvisa instrument
@param script_path : full path to the script
"""
with open(script_path, "r") as file:
script = file.read()
if verbose: print(f"Running script: {script_dir + script_path}")
if verbose: print(f"Running script: {script_path}")
instr.write(script)
@ -41,7 +47,11 @@ def measure_V(instr, count=100, interval=0.05):
plt.show()
sleep(0.05)
def reset(instr):
def reset(instr, verbose=False):
"""
Reset smua and its buffers
@param instr : pyvisa instrument
"""
run_lua(instr, scripts["smua_reset"], verbose=verbose)
run_lua(instr, scripts["buffer_reset"], verbose=verbose)
@ -49,8 +59,9 @@ def reset(instr):
def measure_count(instr, V=True, I=True, count=100, interval=0.05, beep_done=True, verbose=True):
"""
take n measurements at dt interval
@param instr : pyvisa instrument
"""
reset(instr)
reset(instr, verbose=verbose)
f_meas = None
if V and I:
f_meas = "smua.measure.iv(smua.nvbuffer1, smua.nvbuffer2)"
@ -73,25 +84,6 @@ def measure_count(instr, V=True, I=True, count=100, interval=0.05, beep_done=Tru
instr.write("beeper.beep(0.3, 1000)")
def collect_buffer(instr, buffer_nr=1):
"""
get the buffer as 2D - np.array
i - ith reading
0: timestamps
1: readings
"""
if buffer_nr == 2: buffername = "smua.nvbuffer2"
else: buffername = "smua.nvbuffer1"
# instr.write("format.data = format.DREAL\nformat.byteorder = format.LITTLEENDIAN")
# buffer = instr.query_binary_values(f"printbuffer(1, {buffername}.n, {buffername})", datatype='d', container=np.array)
instr.write("format.data = format.ASCII\nformat.asciiprecision = 7")
timestamps = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.timestamps)", container=np.array)
readings = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.readings)", container=np.array)
print(f"readings: {readings}, \ntimestamps: {timestamps}")
buffer = np.vstack((timestamps, readings)).T
return buffer
def event_test_TODO():
# Type of event we want to be notified about

49
k-teng/test.py Normal file
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@ -0,0 +1,49 @@
readings = [
4.974127e-10, -1.418591e-12, -1.573563e-12, -1.728535e-12, -1.704693e-12,
-1.847744e-12, -1.931190e-12, -1.788139e-12, -1.871586e-12, -2.169609e-12,
-2.074242e-12, -1.895428e-12, -1.895428e-12, -1.776218e-12, -1.990795e-12,
-1.788139e-12, -1.811981e-12, -1.657009e-12, -1.573563e-12, -2.396107e-12,
-2.515316e-12, -2.765656e-12, -2.825260e-12, -3.147125e-12, -2.300739e-12,
-2.825260e-12, -3.278255e-12, -5.257130e-12, -6.818771e-12, -8.916855e-12,
-7.712841e-12, 6.437302e-12, -1.142025e-11, -1.206398e-11, -4.649043e-10,
-3.427613e-09, -2.460408e-09, -2.340376e-09, -1.306653e-10, 1.496077e-11,
2.933741e-11, 1.953280e-09, 8.579970e-10, 9.226799e-12, -1.095533e-11,
-2.508163e-11, -2.776039e-09, -8.686423e-09, 4.935264e-12, 1.246929e-11,
3.225744e-09, 2.814472e-09, 1.877034e-09, 2.229273e-09, 1.713574e-09,
8.355618e-10, -4.332781e-10, 5.896091e-11, 5.762577e-11, 8.129537e-09,
4.044378e-09, 1.771629e-09, 7.849216e-10, 4.098892e-10, 3.390551e-10,
2.956390e-10, 3.033876e-10, 1.716256e-10, 1.463890e-11, -5.078316e-12,
-6.949902e-12, -8.106232e-12, -6.473065e-12, -4.506111e-12, 4.919767e-11,
3.052297e-08, 1.161162e-08, -9.892106e-09, -3.613818e-09, -5.004287e-09,
-2.015829e-11, -4.183054e-11, -1.810908e-10, -2.042532e-10, -3.516316e-10,
5.099773e-11, 1.921976e-08, -1.256589e-08, -4.242897e-10, -1.358986e-12,
-3.445148e-12, -3.838539e-12, -4.184246e-12, -7.402897e-12, -2.840877e-10,
-2.872229e-10, -2.730966e-10, -1.134396e-10, -4.376173e-11, -3.576279e-14
]
timestamps = [
0. , 0.05 , 0.1 , 0.15, 0.2, 0.25, 0.3, 0.35,
0.4 , 0.45 , 0.5 , 0.55, 0.6, 0.65, 0.7, 0.75,
0.8 , 0.85 , 0.9 , 0.95, 1. , 1.05, 1.1, 1.15,
1.2 , 1.25 , 1.3 , 1.35, 1.4, 1.45, 1.5, 1.55,
1.6 , 1.690891, 1.710923, 1.75, 1.8, 1.85, 1.9, 1.95,
2. , 2.05 , 2.1 , 2.15, 2.2, 2.25, 2.3, 2.35,
2.420332, 2.45 , 2.5 , 2.55, 2.6, 2.65, 2.7, 2.75,
2.820553, 2.890843, 2.910875, 2.95, 3. , 3.05, 3.1, 3.15,
3.2 , 3.25 , 3.3 , 3.35, 3.4, 3.45, 3.5, 3.55,
3.6 , 3.65 , 3.7 , 3.75, 3.8, 3.85, 3.9, 3.95,
4. , 4.05 , 4.1 , 4.15, 4.2, 4.25, 4.3, 4.35,
4.4 , 4.45 , 4.5 , 4.55, 4.6, 4.65, 4.7, 4.75,
4.8 , 4.85 , 4.9 , 4.95, ]
import pandas as pd
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
df = pd.DataFrame(np.vstack((timestamps, readings)).T)
df.columns = ["Time [s]", "Voltage [V]"]
print(df)
df.to_csv("test.csv", sep=",", header=True, index=False)
df.plot(x='Time [s]', y="Voltage [V]")
plt.show()

33
k-teng/testcurve.py Normal file
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@ -0,0 +1,33 @@
import numpy as np
import matplotlib.pyplot as plt
def testcurve(x, frequency=10, peak_width=2, amplitude=20, bias=0):
# want peak at n*time == frequency
nearest_peak = np.round(x / frequency, 0)
# if not peak at 0 and within peak_width
# print(x, nearest_peak)
if nearest_peak > 0 and abs((x - nearest_peak * frequency)) < peak_width:
# return sin that does one period within 2*peak_width
return amplitude * np.sin(2*np.pi * (x - nearest_peak * frequency - peak_width) / (2*peak_width)) + bias
else:
return bias
# 0 = pk - width
# 2pi = pk + width
def baseline(data):
# find the value where the most values with low gradients are closest to
gradients = np.abs(np.gradient(data))
# consider the values where the absolute gradient is in the bottom 20%
n_gradients = len(data) // 20
consider_indices = np.argsort(gradients)[:n_gradients]
# of those, only consider values where the value
consider_values = data[consider_indices]
xdata = np.arange(0, 100, 0.01)
ydata = np.vectorize(testcurve)(xdata)
plt.plot(xdata, ydata)
plt.show()

0
k-teng/utility/__init__.py Normal file
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8
k-teng/utility/data.py Normal file
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@ -0,0 +1,8 @@
import pandas as pd
import numpy as np
def buffer2dataframe(buffer):
df = pd.DataFrame(buffer)
df.colums = ["Time [s]", "Voltage [V]"]
return df

7
file_io.py → k-teng/utility/file_io.py
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@ -13,15 +13,14 @@ def get_next_filename(basename, directory=".", digits=3):
get the next filename (without extenstion).
example:
basename = file
directory has file001, file002, file004
directory has file001.csv, file002.pkl, file004.csv
-> return file005
"""
files = listdir(directory)
files.sort()
files.reverse()
lowest_number = 0
lowest_number = -1
for file in files:
if not path.isfile(file): continue
if not file.startswith(basename): continue
try:
number = int(file.split('.')[0].strip(basename))
@ -30,4 +29,4 @@ def get_next_filename(basename, directory=".", digits=3):
except ValueError:
continue
return basename + add_zeros(lowest_number)
return basename + add_zeros(lowest_number+1)

38
k-teng/utility/testing.py Normal file
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@ -0,0 +1,38 @@
import pandas as pd
import numpy as np
def collect_buffer(instr, buffer_nr=1):
"""
Get the buffer as 2D - np.array
@param instr : pyvisa instrument
@param buffer_nr : 1 or 2, for smua.nvbuffer1 or 2
@returns 2D numpy array:
i - ith reading:
0: timestamps
1: readings
"""
if buffer_nr == 2: buffername = "smua.nvbuffer2"
else: buffername = "smua.nvbuffer1"
# instr.write("format.data = format.DREAL\nformat.byteorder = format.LITTLEENDIAN")
# buffer = instr.query_binary_values(f"printbuffer(1, {buffername}.n, {buffername})", datatype='d', container=np.array)
instr.write("format.data = format.ASCII\nformat.asciiprecision = 7")
timestamps = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.timestamps)", container=np.array)
readings = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.readings)", container=np.array)
print(f"readings: {readings}, \ntimestamps: {timestamps}")
buffer = np.vstack((timestamps, readings)).T
return buffer
def testcurve(x, frequency=10, peak_width=2, amplitude=20, bias=0):
# want peak at n*time == frequency
nearest_peak = np.round(x / frequency, 0)
# if not peak at 0 and within peak_width
if nearest_peak > 0 and abs((x - nearest_peak * frequency)) < peak_width:
# return sin that does one period within 2*peak_width
return amplitude * np.sin(2*np.pi * (x - nearest_peak * frequency - peak_width) / (2*peak_width)) + bias
else:
return bias
# 0 = pk - width
# 2pi = pk + width

20
keithley.py
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@ -1,20 +0,0 @@
import pyvisa
def init_keithley(beep_success=True):
rm = pyvisa.ResourceManager('@py')
resources = rm.list_resources()
if len(resources) < 1:
raise Exception("No resources found.")
elif len(resources) == 1:
print(f"Opening Resource {resources[0]}")
keithley = rm.open_resource(resources[0])
if beep_success: keithley.write("beeper.beep(0.5, 1000)")
return keithley
elif len(resources) > 1:
print(f"Resources: {resources}")
instr = int(input("Select an instrument (0-based index)"))
keithley = rm.open_resource(resources[instr])
if beep_success: keithley.write("beeper.beep(0.5, 1000)")
return keithley

70
keithley_interactive.py
View File

@ -1,70 +0,0 @@
"""
run this before using this library:
ipython -i keithley_interactive.py
"""
import numpy as np
import matplotlib.pyplot as plt
from sys import exit
settings = {
"filename": "measurement",
"interval": 0.01,
"beep": True,
}
# global variable for the instrument returned by pyvisa
k = None
def measure():
global k, settings
pass
def monitor():
"""
Monitor the voltage with matplotlib.
@details:
- Resets the buffers
- Opens a matplotlib window and takes measurements depending on settings["interval"]
- Waits for the user to press a key
You can take the data from the buffer afterwards, using TODO
"""
data = []
for _ in range(1000):
# data.append(tuple(float(v) for v in instr.query("print(smua.measure.v())").strip('\n').split('\t')))
data.append(np.random())
# print(i, data[-1])
# clear_output(wait=True)
plt.plot(data)
plt.show()
sleep(settings["interval"])
pass
def save_csv():
global k, settings
"""
Saves the contents of nvbuffer1 as csv
"""
pass
def help():
print("""
""")
def init():
global k, settings
print("""Interactive Keithley-Shell for TENG measurements.
Version 1.0
---
Enter 'help()' for a list of commands""")
from keithley import init_keithley
try:
k = init_keithley(beep_success=settings["beep"])
except Exception as e:
print(e)
exit()

119
measurement.ipynb
View File

@ -191,121 +191,30 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 2,
"id": "3390e755-9e37-4b12-8499-9afb577d6505",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 0.000000e+00 4.974127e-10]\n",
" [ 5.000000e-02 -1.418591e-12]\n",
" [ 1.000000e-01 -1.573563e-12]\n",
" [ 1.500000e-01 -1.728535e-12]\n",
" [ 2.000000e-01 -1.704693e-12]\n",
" [ 2.500000e-01 -1.847744e-12]\n",
" [ 3.000000e-01 -1.931190e-12]\n",
" [ 3.500000e-01 -1.788139e-12]\n",
" [ 4.000000e-01 -1.871586e-12]\n",
" [ 4.500000e-01 -2.169609e-12]\n",
" [ 5.000000e-01 -2.074242e-12]\n",
" [ 5.500000e-01 -1.895428e-12]\n",
" [ 6.000000e-01 -1.895428e-12]\n",
" [ 6.500000e-01 -1.776218e-12]\n",
" [ 7.000000e-01 -1.990795e-12]\n",
" [ 7.500000e-01 -1.788139e-12]\n",
" [ 8.000000e-01 -1.811981e-12]\n",
" [ 8.500000e-01 -1.657009e-12]\n",
" [ 9.000000e-01 -1.573563e-12]\n",
" [ 9.500000e-01 -2.396107e-12]\n",
" [ 1.000000e+00 -2.515316e-12]\n",
" [ 1.050000e+00 -2.765656e-12]\n",
" [ 1.100000e+00 -2.825260e-12]\n",
" [ 1.150000e+00 -3.147125e-12]\n",
" [ 1.200000e+00 -2.300739e-12]\n",
" [ 1.250000e+00 -2.825260e-12]\n",
" [ 1.300000e+00 -3.278255e-12]\n",
" [ 1.350000e+00 -5.257130e-12]\n",
" [ 1.400000e+00 -6.818771e-12]\n",
" [ 1.450000e+00 -8.916855e-12]\n",
" [ 1.500000e+00 -7.712841e-12]\n",
" [ 1.550000e+00 6.437302e-12]\n",
" [ 1.600000e+00 -1.142025e-11]\n",
" [ 1.690891e+00 -1.206398e-11]\n",
" [ 1.710923e+00 -4.649043e-10]\n",
" [ 1.750000e+00 -3.427613e-09]\n",
" [ 1.800000e+00 -2.460408e-09]\n",
" [ 1.850000e+00 -2.340376e-09]\n",
" [ 1.900000e+00 -1.306653e-10]\n",
" [ 1.950000e+00 1.496077e-11]\n",
" [ 2.000000e+00 2.933741e-11]\n",
" [ 2.050000e+00 1.953280e-09]\n",
" [ 2.100000e+00 8.579970e-10]\n",
" [ 2.150000e+00 9.226799e-12]\n",
" [ 2.200000e+00 -1.095533e-11]\n",
" [ 2.250000e+00 -2.508163e-11]\n",
" [ 2.300000e+00 -2.776039e-09]\n",
" [ 2.350000e+00 -8.686423e-09]\n",
" [ 2.420332e+00 4.935264e-12]\n",
" [ 2.450000e+00 1.246929e-11]\n",
" [ 2.500000e+00 3.225744e-09]\n",
" [ 2.550000e+00 2.814472e-09]\n",
" [ 2.600000e+00 1.877034e-09]\n",
" [ 2.650000e+00 2.229273e-09]\n",
" [ 2.700000e+00 1.713574e-09]\n",
" [ 2.750000e+00 8.355618e-10]\n",
" [ 2.820553e+00 -4.332781e-10]\n",
" [ 2.890843e+00 5.896091e-11]\n",
" [ 2.910875e+00 5.762577e-11]\n",
" [ 2.950000e+00 8.129537e-09]\n",
" [ 3.000000e+00 4.044378e-09]\n",
" [ 3.050000e+00 1.771629e-09]\n",
" [ 3.100000e+00 7.849216e-10]\n",
" [ 3.150000e+00 4.098892e-10]\n",
" [ 3.200000e+00 3.390551e-10]\n",
" [ 3.250000e+00 2.956390e-10]\n",
" [ 3.300000e+00 3.033876e-10]\n",
" [ 3.350000e+00 1.716256e-10]\n",
" [ 3.400000e+00 1.463890e-11]\n",
" [ 3.450000e+00 -5.078316e-12]\n",
" [ 3.500000e+00 -6.949902e-12]\n",
" [ 3.550000e+00 -8.106232e-12]\n",
" [ 3.600000e+00 -6.473065e-12]\n",
" [ 3.650000e+00 -4.506111e-12]\n",
" [ 3.700000e+00 4.919767e-11]\n",
" [ 3.750000e+00 3.052297e-08]\n",
" [ 3.800000e+00 1.161162e-08]\n",
" [ 3.850000e+00 -9.892106e-09]\n",
" [ 3.900000e+00 -3.613818e-09]\n",
" [ 3.950000e+00 -5.004287e-09]\n",
" [ 4.000000e+00 -2.015829e-11]\n",
" [ 4.050000e+00 -4.183054e-11]\n",
" [ 4.100000e+00 -1.810908e-10]\n",
" [ 4.150000e+00 -2.042532e-10]\n",
" [ 4.200000e+00 -3.516316e-10]\n",
" [ 4.250000e+00 5.099773e-11]\n",
" [ 4.300000e+00 1.921976e-08]\n",
" [ 4.350000e+00 -1.256589e-08]\n",
" [ 4.400000e+00 -4.242897e-10]\n",
" [ 4.450000e+00 -1.358986e-12]\n",
" [ 4.500000e+00 -3.445148e-12]\n",
" [ 4.550000e+00 -3.838539e-12]\n",
" [ 4.600000e+00 -4.184246e-12]\n",
" [ 4.650000e+00 -7.402897e-12]\n",
" [ 4.700000e+00 -2.840877e-10]\n",
" [ 4.750000e+00 -2.872229e-10]\n",
" [ 4.800000e+00 -2.730966e-10]\n",
" [ 4.850000e+00 -1.134396e-10]\n",
" [ 4.900000e+00 -4.376173e-11]\n",
" [ 4.950000e+00 -3.576279e-14]]\n"
"ename": "NameError",
"evalue": "name 'buffer1' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mbuffer1\u001b[49m)\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[1;32m 3\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(buffer1)\n",
"\u001b[0;31mNameError\u001b[0m: name 'buffer1' is not defined"
]
}
],
"source": [
"print(buffer1)"
"print(buffer1)\n",
"import pandas as pd\n",
"df = pd.DataFrame(buffer1)\n",
"df.colums = [\"Time [s]\", \"Voltage [V]\"]\n",
"df.save_csv(\"test.csv\")"
]
},
{

28
setup.py Executable file
View File

@ -0,0 +1,28 @@
from setuptools import setup
setup(
name="keithley-teng",
version="0.1",
description="Utility for measuring TENG-sensor output with a Keithley 2600B SMU",
author="Matthias Quintern",
author_email="matthias.quintern@tum.de",
url="https://git.quintern.xyz/MatthiasQuintern/teng-measurement.git",
license="GPLv3",
packages=["keithley-teng"],
# packages=setuptools.find_packages(),
install_requires=["pyvisa", "pyvisa-py"],
classifiers=[
"Programming Language :: Python :: 3",
],
# entry_points={
# "console_scripts": [ "teng=teng.interactive:main" ],
# },
)