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If your program is a subroutine library, you +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 +. diff --git a/k-teng/__init__.py b/k-teng/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/k-teng/k-teng-interactive.py b/k-teng/k-teng-interactive.py new file mode 100644 index 0000000..db2059a --- /dev/null +++ b/k-teng/k-teng-interactive.py @@ -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 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 '' to set another path. + The serach path is: + /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() diff --git a/k-teng/keithley/__init__.py b/k-teng/keithley/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/k-teng/keithley/keithley.py b/k-teng/keithley/keithley.py new file mode 100644 index 0000000..2ca79fd --- /dev/null +++ b/k-teng/keithley/keithley.py @@ -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 + diff --git a/measure.py b/k-teng/keithley/measure.py similarity index 72% rename from measure.py rename to k-teng/keithley/measure.py index d15b031..7d06b69 100644 --- a/measure.py +++ b/k-teng/keithley/measure.py @@ -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 diff --git a/k-teng/test.py b/k-teng/test.py new file mode 100644 index 0000000..7480266 --- /dev/null +++ b/k-teng/test.py @@ -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() + diff --git a/k-teng/testcurve.py b/k-teng/testcurve.py new file mode 100644 index 0000000..9cbc49b --- /dev/null +++ b/k-teng/testcurve.py @@ -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() diff --git a/k-teng/utility/__init__.py b/k-teng/utility/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/k-teng/utility/data.py b/k-teng/utility/data.py new file mode 100644 index 0000000..e885cdf --- /dev/null +++ b/k-teng/utility/data.py @@ -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 + diff --git a/file_io.py b/k-teng/utility/file_io.py similarity index 82% rename from file_io.py rename to k-teng/utility/file_io.py index 5326404..a16946b 100644 --- a/file_io.py +++ b/k-teng/utility/file_io.py @@ -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) diff --git a/k-teng/utility/testing.py b/k-teng/utility/testing.py new file mode 100644 index 0000000..e2444d6 --- /dev/null +++ b/k-teng/utility/testing.py @@ -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 diff --git a/keithley.py b/keithley.py deleted file mode 100644 index a0bb96a..0000000 --- a/keithley.py +++ /dev/null @@ -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 - diff --git a/keithley_interactive.py b/keithley_interactive.py deleted file mode 100644 index 5e48eb9..0000000 --- a/keithley_interactive.py +++ /dev/null @@ -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() diff --git a/measurement.ipynb b/measurement.ipynb index 652e0d1..6beea1a 100644 --- a/measurement.ipynb +++ b/measurement.ipynb @@ -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", - 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" [ 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\")" ] }, { diff --git a/setup.py b/setup.py new file mode 100755 index 0000000..3af611e --- /dev/null +++ b/setup.py @@ -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" ], + # }, +) + +