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__pycache__
.ipynb_checkpoints
.vim
.old
testing
bspc_rule.sh
readings.txt
setup.py

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may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

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cpdctrl/__init__.py Normal file
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cpdctrl/backends/__init__.py Normal file
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cpdctrl/backends/keithley/__init__.py Normal file
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cpdctrl/backends/keithley/keithley.py Normal file
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import pyvisa
import numpy as np
# import pkg_resources
class Keithley2007:
"""
Utility
"""
scripts = {}
def __init__(self, beep_success=True, visa_backend="", check_front_switch=True):
rm = pyvisa.ResourceManager(visa_backend)
resources = rm.list_resources()
if len(resources) < 1:
raise Exception("No resources found.")
elif len(resources) == 1:
print(f"Opening the only resource found: {resources[0]}")
self. = rm.open_resource(resources[0])
if beep_success: keithley.write("beeper.beep(0.5, 1000)")
return keithley
elif len(resources) > 1:
print(f"Resources:")
for i, r in enumerate(resources):
print(f"{i:02}: {r}")
instr = int(input("Select an instrument: "))
self.instr = rm.open_resource(resources[instr])
if beep_success: self.beep()
if check_front_switch:
self._check_front_input_selected()
def _check_front_input_selected(self):
switch = self.instr.query("SYSTem:FRSwitch?").strip("\n")
if switch != "1":
raise Exception("The Keithley's INPUT switch must select the [F]ront inputs")
return switch
def run_script(self, script_path, verbose=False):
"""
Run a script from the host on the 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}")
self.instr.write(script)
def beep(self, length=0.5, pitch=1000):
"""The Keithley2700 cant beep on command :("""
pass
def __del__(self):
"""Properly close the instrument connection"""
self.instr.close()
def reset(self, verbose=False):
"""
Reset smua and its buffers
@param instr : pyvisa instrument
"""
self.run_script(self.instr, scripts["smua_reset"], verbose=verbose)
run_lua(self.instr, scripts["buffer_reset"], verbose=verbose)
def get_buffer_size(instr, buffer_nr=1):
n = instr.query(f"print({get_buffer_name(buffer_nr)}.n)").strip("\n")
return int(float(n))
def collect_buffer(instr, buffer_nr=1, verbose=False):
"""
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
"""
buffername = get_buffer_name(buffer_nr)
# 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)
if verbose:
print(f"readings from {buffername}: {readings}, \ntimestamps: {timestamps}")
buffer = np.vstack((timestamps, readings)).T
return buffer
def collect_buffer_range(instr, range_=(1, -1), buffer_nr=1, verbose=False):
"""
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
"""
buffername = get_buffer_name(buffer_nr)
# 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)
if range_[1] == -1:
range_ = (range_[0], f"{buffername}.n")
instr.write("format.data = format.ASCII\nformat.asciiprecision = 7")
timestamps = instr.query_ascii_values(f"printbuffer({range_[0]}, {range_[1]}, {buffername}.timestamps)", container=np.array)
readings = instr.query_ascii_values(f"printbuffer({range_[0]}, {range_[1]}, {buffername}.readings)", container=np.array)
if verbose:
print(f"readings from {buffername}: {readings}, \ntimestamps: {timestamps}")
buffer = np.vstack((timestamps, readings)).T
return buffer

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from time import sleep
import numpy as np
from matplotlib import pyplot as plt
import pyvisa
from cpdctrl.backends.keithley.keithley import reset
from cpdctrl.utility import testing as _testing
def measure_count(instr, count=100, interval=0.05, update_func=None, update_interval=0.5, beep_done=True, verbose=True):
"""
Take <count> measurements with <interval> inbetween
@details
Uses the devices overlappedY function to make the measurements asynchronosly
The update_func is optional and only used when I == True and V == True
The update_func does not necessarily get all the values that are measured. To obtain the whole measurement, get them from the device buffers (smua.nvbufferX)
@param instr: pyvisa instrument
@param update_func: Callable that processes the measurements: (index, ival, vval) -> None
@param update_interval: interval at which the update_func is called
"""
f_meas = "smua.measure.overlappediv(smua.nvbuffer1, smua.nvbuffer2)"
# if V and I:
# elif V:
# f_meas = "smua.measure.overlappedv(smua.nvbuffer1)"
# elif I:
# f_meas = "smua.measure.overlappedi(smua.nvbuffer1)"
# else:
# print("I and/or V needs to be set to True")
# return
i = 0
reset(instr, verbose=verbose)
instr.write(f"smua.measure.count = {count}")
instr.write(f"smua.measure.interval = {interval}")
# start measurement
instr.write(f"smua.source.output = smua.OUTPUT_ON")
instr.write(f_meas)
sleep(update_interval)
# for live viewing
query = """if smua.nvbufferX.n > 0 then print(smua.nvbufferX.readings[smua.nvbufferX.n]) else print(0) end"""
# will return 2.0 while measruing
while float(instr.query("print(status.operation.measuring.condition)").strip("\n ")) != 0:
if update_func:
try:
ival = float(instr.query(query.replace("X", "1")).strip("\n"))
vval = float(instr.query(query.replace("X", "2")).strip("\n"))
update_func(i, ival, vval)
except ValueError as e:
if i != 0:
pass
else:
print(f"measure_count: ValueError: {e}")
sleep(update_interval)
i += 1
instr.write(f"smua.source.output = smua.OUTPUT_OFF")
if beep_done:
instr.write("beeper.beep(0.3, 1000)")
def measure(instr, interval, update_func=None, max_measurements=None):
"""
@details:
- Resets the buffers
- Until KeyboardInterrupt:
- Take measurement
- Call update_func
- Wait interval
Uses python's time.sleep() for waiting the interval, which is not very precise. Use measure_count for better precision
You can take the data from the buffer afterwards, using save_csv
@param instr: pyvisa instrument
@param update_func: Callable that processes the measurements: (index, ival, vval) -> None
@param max_measurements : maximum number of measurements. None means infinite
"""
reset(instr, verbose=True)
instr.write("smua.source.output = smua.OUTPUT_ON")
instr.write("format.data = format.ASCII\nformat.asciiprecision = 12")
try:
i = 0
while max_measurements is None or i < max_measurements:
ival, vval = tuple(float(v) for v in instr.query("print(smua.measure.iv(smua.nvbuffer1, smua.nvbuffer2))").strip('\n').split('\t'))
if update_func:
update_func(i, ival, vval)
sleep(interval)
i += 1
except KeyboardInterrupt:
pass
instr.write("smua.source.output = smua.OUTPUT_OFF")
print("Measurement stopped" + " "*50)

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cpdctrl/cpdctrl-interactive.py Normal file
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"""
run this before using this library:
ipython -i cpdctrl_interactive.py
always records iv-t curves
i-data -> smua.nvbuffer1
v-data -> smua.nvbuffer2
"""
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
import atexit
import argparse
if __name__ == "__main__":
import sys
if __package__ is None:
# make relative imports work as described here: https://peps.python.org/pep-0366/#proposed-change
__package__ = "cpdctrl"
from os import path
filepath = path.realpath(path.abspath(__file__))
sys.path.insert(0, path.dirname(path.dirname(filepath)))
parser = argparse.ArgumentParser(
prog="m-teng",
description="measure triboelectric nanogenerator output using a Keithley SMU or an Arduino",
)
backend_group = parser.add_mutually_exclusive_group(required=True)
backend_group.add_argument("-k", "--keithley", action="store_true")
backend_group.add_argument("-t", "--testing", action='store_true')
parser.add_argument("-c", "--config", action="store", help="alternate path to config file")
args = vars(parser.parse_args())
i = 1
while i < len(sys.argv):
if args["keithley"]:
import cpdctrl.backends.keithley.keithley as _backend
import cpdctrl.backends.keithley.measure as _measure
elif args["arduino"]:
import cpdctrl.backends.arduino.arduino as _backend
import cpdctrl.backends.arduino.measure as _measure
elif args["testing"]:
import cpdctrl.backends.testing.testing as _backend
import cpdctrl.backends.testing.measure as _measure
elif sys.argv[i] in ["-c", "--config"]:
if i+1 < len(sys.argv):
config_path = sys.argv[i+1]
else:
print("-c requires an extra argument: path of config file")
i += 1
i += 1
from cpdctrl.utility import data as _data
from cpdctrl.utility.data import load_dataframe
from cpdctrl.utility import file_io
from cpdctrl.update_funcs import _Monitor, _update_print
config_path = path.expanduser("~/.config/m-teng.json")
_runtime_vars = {
"last-measurement": ""
}
settings = {
"datadir": path.expanduser("~/data"),
"name": "measurement",
"interval": 0.02,
"beep": True,
}
test = False
# global variable for the instrument/client returned by pyvisa/bleak
dev = None
def monitor_count(count=5000, interval=None, max_points_shown=160):
"""
Take <count> measurements in <interval> and monitor live with matplotlib.
@details:
- Resets the buffers
- Opens a matplotlib window and takes measurements depending on settings["interval"]
Uses the device internal overlappedY measurement method, which allows for greater precision
You can take the data from the buffer afterwards, using save_csv
@param count: count
@param interval: interval, defaults to settings["interval"]
@param max_points_shown: how many points should be shown at once. None means infinite
"""
if not interval: interval = settings["interval"]
plt_monitor = _Monitor(max_points_shown, use_print=True)
update_func = plt_monitor.update
print(f"Starting measurement with:\n\tinterval = {interval}s\nSave the data using 'save_csv()' afterwards.")
try:
_measure.measure_count(dev, count=count, interval=interval, beep_done=False, verbose=False, update_func=update_func, update_interval=0.05)
except KeyboardInterrupt:
if args["keithley"]:
dev.write(f"smua.source.output = smua.OUTPUT_OFF")
print("Monitoring cancelled, measurement might still continue" + " "*50)
else:
print("Measurement finished" + " "*50)
def measure_count(count=5000, interval=None):
"""
Take <count> measurements in <interval>
@details:
- Resets the buffers
- Takes <count> measurements depending on settings["interval"]
Uses the device internal overlappedY measurement method, which allows for greater precision
You can take the data from the buffer afterwards, using save_csv
@param count: count
@param interval: interval, defaults to settings["interval"]
"""
if not interval: interval = settings["interval"]
update_func = _update_print
print(f"Starting measurement with:\n\tinterval = {interval}s\nSave the data using 'save_csv()' afterwards.")
try:
_measure.measure_count(dev, count=count, interval=interval, beep_done=False, verbose=False, update_func=update_func, update_interval=0.05)
except KeyboardInterrupt:
if args["keithley"]:
dev.write(f"smua.source.output = smua.OUTPUT_OFF")
print("Monitoring cancelled, measurement might still continue" + " "*50)
else:
print("Measurement finished" + " "*50)
def monitor(interval=None, max_measurements=None, max_points_shown=160):
"""
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
Uses python's time.sleep() for waiting the interval, which is not very precise. Use measure_count for better precision.
You can take the data from the buffer afterwards, using save_csv.
@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
"""
global _runtime_vars
_runtime_vars["last_measurement"] = dtime.now().isoformat()
if not interval: interval = settings["interval"]
print(f"Starting measurement with:\n\tinterval = {interval}s\nUse <C-c> to stop. Save the data using 'save_csv()' afterwards.")
plt_monitor = _Monitor(use_print=True, max_points_shown=max_points_shown)
update_func = plt_monitor.update
_measure.measure(dev, interval=interval, max_measurements=max_measurements, update_func=update_func)
def measure(interval=None, max_measurements=None):
"""
Measure voltages
@details:
- Resets the buffers
- Measure voltages
- Waits for the user to press a key
Uses python's time.sleep() for waiting the interval, which is not very precise. Use measure_count for better precision.
You can take the data from the buffer afterwards, using save_csv.
@param max_measurements : maximum number of measurements. None means infinite
"""
global _runtime_vars
if not interval: interval = settings["interval"]
_runtime_vars["last_measurement"] = dtime.now().isoformat()
print(f"Starting measurement with:\n\tinterval = {interval}s\nUse <C-c> to stop. Save the data using 'save_csv()' afterwards.")
update_func = _update_print
_measure.measure(dev, interval=interval, max_measurements=max_measurements, update_func=update_func)
def repeat(measure_func: callable, count: int, repeat_delay=0):
"""
Measure and save to csv multiple times
@details
Repeat count times:
- call measure_func
- call save_csv
- sleep for repeat_delay
@param measure_func: The measurement function to use. Use a lambda to bind your parameters!
@param count: Repeat count times
Example: Repeat 10 times:
repeat(lambda : monitor_count(count=6000, interval=0.02, max_points_shown=200), 10)
"""
try:
for _ in range(count):
measure_func()
save_csv()
sleep(repeat_delay)
except KeyboardInterrupt:
pass
if settings["beep"]: _backend.beep(dev)
def get_dataframe():
"""
Get a pandas dataframe from the data in smua.nvbuffer1 and smua.nvbuffer2
"""
global k, settings, _runtime_vars
ibuffer = _backend.collect_buffer(dev, 1)
vbuffer = _backend.collect_buffer(dev, 2)
df = _data.buffers2dataframe(ibuffer, vbuffer)
df.basename = file_io.get_next_filename(settings["name"], settings["datadir"])
df.name = f"{df.basename} @ {_runtime_vars['last-measurement']}"
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 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:
_backend.run_lua(dev, 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 name(s:str):
global settings
settings["name"] = s
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"]) # replace ~
def help(topic=None):
if topic == None:
print("""
Functions:
measure [kat] - take measurements
monitor [kat] - take measurements with live monitoring in a matplotlib window
measure_count [kat] - take a fixed number of measurements
monitor_count [kat] - take a fixed number of measurements with live monitoring in a matplotlib window
repeat [kat] - measure and save to csv multiple times
get_dataframe [kat] - return device internal buffer as pandas dataframe
save_csv [kat] - save the last measurement as csv file
save_pickle [kat] - save the last measurement as pickled pandas dataframe
load_dataframe [kat] - load a pandas dataframe from csv or pickle
run_script [k ] - 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:
name("<name>") - short for set("name", "<name>")
set("setting", value) - set a setting to a value
save_settings() - store the settings as "m-teng.json" in the working directory
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>/m-teng.json
$XDG_CONFIG_HOME/m-teng.json
~/.config/m-teng.json
""")
elif topic == "imports":
print("""Imports:
numpy as np
pandas as pd
matplotlib.pyplot as plt
os.path """)
elif topic == "device":
print("""Device:
keithley backend:
The opened pyvisa resource (deveithley device) is the global variable 'dev'.
You can interact using pyvisa functions, such as
k.write("command"), k.query("command") etc. to interact with the device.
arduino backend:
The Arduino will be avaiable as BleakClient using the global variable 'dev'. """)
else:
print(topic.__doc__)
def init():
global dev, settings, config_path
print(r""" ______________________ _______ ________
_____ \__ ___/\_ _____/ \ \ / _____/
/ \ ______| | | __)_ / | \ / \ ___
| Y Y \/_____/| | | \/ | \\ \_\ \
|__|_| / |____| /_______ /\____|__ / \______ /
\/ \/ \/ \/ 1.2
Interactive Shell for TENG measurements with Keithley 2600B
---
Enter 'help()' for a list of commands""")
from os import environ
if path.isfile("m-teng.json"):
config_path = "m-teng.json"
elif 'XDG_CONFIG_HOME' in environ.keys():
# and path.isfile(environ["XDG_CONFIG_HOME"] + "/m-teng.json"):
config_path = environ["XDG_CONFIG_HOME"] + "/m-teng.json"
else:
config_path = path.expanduser("~/.config/m-teng.json")
if args["config"]:
config_path = args["config"]
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"])
try:
dev = _backend.init(beep_success=settings["beep"])
except Exception as e:
print(e)
exit(1)
atexit.register(_backend.exit, dev)
if __name__ == "__main__":
init()

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cpdctrl/keithley_scripts/reset.scpi Normal file
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VOLT:DC:RANGe:AUTO ON
' DC Voltage measurement
SENSe:FUNC 'VOLT:DC'
' Set voltage divider if required
' SENSE:VOLT:DC:IDIVider OFF

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cpdctrl/keithley_scripts/scan.scpi Normal file
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' Disable continuous initiation
INIT:CONT OFF
' two readings per second
TRIGger:SOURce TIMer
TRIGger:TIMer 0.5

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import matplotlib.pyplot as plt
import numpy as np
from .backends.keithley import keithley
def _update_print(i, ival, vval):
print(f"n = {i:5d}, I = {ival: .12f} A, U = {vval: .5f} V" + " "*10, end='\r')
class _Monitor:
"""
Monitor v and i data
"""
def __init__(self, max_points_shown=None, use_print=False):
self.max_points_shown = max_points_shown
self.use_print = use_print
self.index = []
self.vdata = []
self.idata = []
plt.ion()
self.fig1, (self.vax, self.iax) = plt.subplots(2, 1, figsize=(8, 5))
self.vline, = self.vax.plot(self.index, self.vdata, color="g")
self.vax.set_ylabel("Voltage [V]")
self.vax.grid(True)
self.iline, = self.iax.plot(self.index, self.idata, color="m")
self.iax.set_ylabel("Current [A]")
self.iax.grid(True)
def update(self, i, ival, vval):
if self.use_print:
_update_print(i, ival, vval)
self.index.append(i)
self.idata.append(ival)
self.vdata.append(vval)
# update data
self.iline.set_xdata(self.index)
self.iline.set_ydata(self.idata)
self.vline.set_xdata(self.index)
self.vline.set_ydata(self.vdata)
# recalculate limits and set them for the view
self.iax.relim()
self.vax.relim()
if self.max_points_shown and i > self.max_points_shown:
self.iax.set_xlim(i - self.max_points_shown, i)
self.vax.set_xlim(i - self.max_points_shown, i)
self.iax.autoscale_view()
self.vax.autoscale_view()
# update plot
self.fig1.canvas.draw()
self.fig1.canvas.flush_events()
def __del__(self):
plt.close(self.fig1)

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cpdctrl/utility/__init__.py Normal file
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cpdctrl/utility/data.py Normal file
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import pandas as pd
import numpy as np
from os import path
import matplotlib.pyplot as plt
# deprecated
# def buffer2dataframe(buffer):
# df = pd.DataFrame(buffer)
# df.colums = ["Time [s]", "Voltage [V]"]
# return df
def buffers2dataframe(ibuffer, vbuffer):
"""
@param ibuffer : 2d - array: timestamps, current
@param vbuffer : 2d - array: timestamps, voltage
@returns DataFrame: timestamps, current, voltage
"""
df = pd.DataFrame(np.vstack((ibuffer[:,0], ibuffer[:,1], vbuffer[:,1])).T)
df.columns = ["Time [s]", "Current [A]", "Voltage [V]"]
return df
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 plot(data: str or pd.DataFrame or np.ndarray, title="", U=True, I=False):
"""
Plot recorded data
@param data: filepath, dataframe or numpy array
"""
if type(data) == str:
_data = load_dataframe(data).to_numpy()
elif type(data) == pd.DataFrame:
_data = data.to_numpy()
else:
_data = data
print(_data[0])
plt.ion()
fig, ax = plt.subplots()
ax.set_xlabel("t [s]")
vax = ax
iax = ax
if U and I:
iax = ax.twinx()
if U:
vax = ax
vax.set_ylabel("U [V]")
vax.plot(_data[:,0], _data[:,2], color="blue", label="voltage")
if I:
iax.set_ylabel("I [A]")
iax.plot(_data[:,0], _data[:,1], color="orange", label="current")
if U and I:
plt.legend()
return fig

33
cpdctrl/utility/file_io.py Normal file
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from os import listdir, path
def add_zeros(v: int, digits=3):
"""
return v as string, add leading zeros if len(str(v)) < digits
"""
s = str(v)
return '0' * (max(digits - len(s), 0)) + s
def get_next_filename(basename, directory=".", digits=3):
"""
get the next filename (without extenstion).
example:
basename = file
directory has file001.csv, file002.pkl, file004.csv
-> return file005
"""
files = listdir(directory)
files.sort()
files.reverse()
lowest_number = -1
for file in files:
if not file.startswith(basename): continue
try:
number = file[:file.rfind('.')].replace(basename, "")
number = int(number)
if number < lowest_number: continue
lowest_number = number
except ValueError:
continue
return basename + add_zeros(lowest_number+1)

17
cpdctrl/utility/testing.py Normal file
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import numpy as np
def testcurve(x, frequency=10, peak_width=2, amplitude=20, bias=0):
# 0 = pk - width
# 2pi = pk + width
# 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 np.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
def get_testcurve(frequency=10, peak_width=2, amplitude=20, bias=0):
return np.vectorize(lambda x: testcurve(x, frequency=frequency, peak_width=peak_width, amplitude=amplitude, bias=bias))

41
pyproject.toml Normal file
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[build-system]
requires = ["setuptools"]
[project]
name = "cpdctrl"
version = "1.1.0"
description = "Utility for voltage measurements with a Keitley 2700 SMU"
requires-python = ">=3.10"
readme = "readme.md"
license = {file = "LICENSE"}
authors = [
{ name = "Matthias Quintern", email = "matthias.quintern@tum.de" }
]
classifiers = [
"Operating System :: POSIX :: Linux",
"Environment :: Console",
"Programming Language :: Python :: 3",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
]
dependencies = [
"matplotlib>=3.6",
"numpy",
"pandas",
]
[project.optional-dependencies]
keithley = [
"pyvisa",
]
[project.urls]
repository = "https://git.quintern.xyz/MatthiasQuintern/cpdctrl"
[project.scripts]
cpdctrl = "cpdctrl.cpdctrl_interactive:main"
[tool.setuptools.packages.find]
where = ["."]