use iv instead of v curves
This commit is contained in:
Matthias@Dell
parent
579d69f92a
commit
da49bf68d6
@ -1,6 +1,10 @@
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"""
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run this before using this library:
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ipython -i keithley_interactive.py
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always records iv-t curves
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i-data -> smua.nvbuffer1
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v-data -> smua.nvbuffer2
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"""
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import numpy as np
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@ -25,7 +29,7 @@ if __name__ == "__main__":
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from .keithley import keithley as _keithley
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from .utility import data
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from .utility import data as _data
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from .utility import file_io
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from .utility import testing
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@ -61,49 +65,71 @@ def _measure(max_measurements=None, max_points_shown=None, monitor=False):
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global k, settings, test, _runtime_vars
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print(f"Starting measurement with:\n\tinterval = {settings['interval']}s\nUse <C-c> to stop. Save the data using 'save_csv()' afterwards.")
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_runtime_vars["last_measurement"] = dtime.now().isoformat()
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if not test:
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_keithley.reset(k, verbose=True)
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k.write("smua.source.output = 1")
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k.write("format.data = format.ASCII\nformat.asciiprecision = 12")
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# jupyter:
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# clear_output(wait=True)
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# plt.plot(data)
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# plt.show()
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index = []
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data = []
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vdata = []
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idata = []
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if monitor:
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plt.ion()
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fig = plt.figure()
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ax = fig.add_subplot(ylabel="Voltage [V]")
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line1, = ax.plot(index, data)
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fig1, (vax, iax) = plt.subplots(2, 1)
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vline, = vax.plot(index, vdata, color="g")
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vax.set_ylabel("Voltage [V]")
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vax.grid(True)
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iline, = iax.plot(index, idata, color="m")
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iax.set_ylabel("Current [A]")
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iax.grid(True)
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try:
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i = 0
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while max_measurements is None or i < max_measurements:
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index.append(i)
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if test:
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data.append(testing.testcurve(i))
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# data.append(tuple(float(v) for v in instr.query("print(smua.measure.v())").strip('\n').split('\t')))
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else:
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data.append(k.query("print(smua.measure.v())").strip('\n'))
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idata.append(testing.testcurve(i, peak_width=1, amplitude=5e-8))
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vdata.append(-testing.testcurve(i, peak_width=2, amplitude=15))
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# data.append(np.random.rand())
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print(f"{i:5d} - {data[-1]:.5f} V", end='\r')
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else:
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# data.append(float(k.query("print(smua.measure.v(smua.nvbuffer1))").strip('\n')))
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i_val, v_val = tuple(float(v) for v in k.query("print(smua.measure.iv(smua.nvbuffer1, smua.nvbuffer2))").strip('\n').split('\t'))
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idata.append(i_val)
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vdata.append(v_val)
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print(f"{i:5d} - {idata[-1]:.12f} A - {vdata[-1]:.5f} V", end='\r')
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if monitor:
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# update data
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line1.set_xdata(index)
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line1.set_ydata(data)
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iline.set_xdata(index)
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iline.set_ydata(idata)
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vline.set_xdata(index)
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vline.set_ydata(vdata)
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# recalculate limits and set them for the view
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ax.relim()
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iax.relim()
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vax.relim()
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if max_points_shown and i > max_points_shown:
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ax.set_xlim(i - max_points_shown, i)
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ax.autoscale_view()
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iax.set_xlim(i - max_points_shown, i)
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vax.set_xlim(i - max_points_shown, i)
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iax.autoscale_view()
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vax.autoscale_view()
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# update plot
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fig.canvas.draw()
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fig.canvas.flush_events()
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fig1.canvas.draw()
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fig1.canvas.flush_events()
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sleep(settings["interval"])
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i += 1
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except KeyboardInterrupt:
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if not test:
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k.write("smua.source.output = 0")
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if monitor:
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plt.close(fig)
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plt.close(fig1)
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print("Measurement stopped" + " "*50)
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return vdata, idata
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def monitor(max_measurements=None, max_points_shown=None, ):
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def monitor(max_measurements=None, max_points_shown=160):
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"""
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Monitor the voltage with matplotlib.
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@ -131,17 +157,23 @@ def measure(max_measurements=None):
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def get_dataframe():
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"""
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Get a pandas dataframe from the data in smua.nvbuffer1
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"""
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global k, settings, _runtime_vars
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if test:
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timestamps = np.arange(0, 50, 0.01)
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ydata = np.array([testing.testcurve(t) for t in timestamps])
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buffer = np.vstack((timestamps, ydata)).T
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ydata = np.array([testing.testcurve(t, amplitude=15, peak_width=2) for t in timestamps])
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ibuffer = np.vstack((timestamps, ydata)).T
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ydata = np.array([-testing.testcurve(t, amplitude=5e-8, peak_width=1) for t in timestamps])
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vbuffer = np.vstack((timestamps, ydata)).T
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else:
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buffer = _keithley.collect_buffer(k, 1)
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df = data.buffer2dataframe(buffer)
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ibuffer = _keithley.collect_buffer(k, 1)
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vbuffer = _keithley.collect_buffer(k, 2)
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df = _data.buffers2dataframe(ibuffer, vbuffer)
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df.basename = file_io.get_next_filename(settings["name"], settings["datadir"])
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df.name = f"{df.basename} @ {_runtime_vars['last-measurement']}"
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df.columns = ["Time [s]", "Voltage [V]"]
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return df
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def save_csv():
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@ -201,6 +233,9 @@ def set(setting, value):
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return
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settings[setting] = value
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def name(s:str):
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global settings
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settings["name"] = s
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def save_settings():
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with open(config_path, "w") as file:
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@ -218,9 +253,10 @@ def help(topic=None):
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Functions:
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measure - measure the voltage
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monitor - measure the voltage with live monitoring in a matplotlib window
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get_dataframe - return smua.nvbuffer1 as pandas dataframe
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save_csv - save the last measurement as csv file
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save_pickle - save the last measurement as pickled pandas dataframe
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load_dataframe - load a pandas dataframe from csv or pickle
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load_dataframe - load a pandas dataframe from csv or pickle
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run_script - run a lua script on the Keithely device
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Run 'help(function)' to see more information on a function
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@ -238,9 +274,10 @@ Run 'help("topic")' to see more information on a topic""")
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beep: bool - wether the device should beep or not
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Functions:
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TODO set("setting", value) - set a setting to a value
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TODO save_settings() - store the settings as "k-teng.conf" in the working directory
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TODO load_settings() - load settings from a file
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name("<name>") - short for set("name", "<name>")
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set("setting", value) - set a setting to a value
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save_settings() - store the settings as "k-teng.conf" in the working directory
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load_settings() - load settings from a file
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The global variable 'config_path' determines the path used by save/load_settings. Use -c '<path>' to set another path.
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The serach path is:
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<working-dir>/k-teng.json
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@ -5,7 +5,7 @@ import numpy as np
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"""
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Utility
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"""
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script_dir = "scripts/"
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script_dir = "../scripts/"
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scripts = {
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"buffer_reset": "buffer_reset.lua",
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"smua_reset": "smua_reset.lua",
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@ -54,7 +54,7 @@ def reset(instr, verbose=False):
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run_lua(instr, scripts["buffer_reset"], verbose=verbose)
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def collect_buffer(instr, buffer_nr=1):
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def collect_buffer(instr, buffer_nr=1, verbose=False):
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"""
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Get the buffer as 2D - np.array
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@param instr : pyvisa instrument
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@ -71,7 +71,8 @@ def collect_buffer(instr, buffer_nr=1):
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instr.write("format.data = format.ASCII\nformat.asciiprecision = 7")
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timestamps = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.timestamps)", container=np.array)
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readings = instr.query_ascii_values(f"printbuffer(1, {buffername}.n, {buffername}.readings)", container=np.array)
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print(f"readings: {readings}, \ntimestamps: {timestamps}")
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if verbose:
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print(f"readings from {buffername}: {readings}, \ntimestamps: {timestamps}")
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buffer = np.vstack((timestamps, readings)).T
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return buffer
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@ -6,3 +6,12 @@ def buffer2dataframe(buffer):
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df.colums = ["Time [s]", "Voltage [V]"]
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return df
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def buffers2dataframe(ibuffer, vbuffer):
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"""
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@param ibuffer : 2d - array: timestamps, current
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@param vbuffer : 2d - array: timestamps, voltage
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@returns DataFrame: timestamps, current, voltage
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"""
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df = pd.DataFrame(np.vstack((ibuffer[:,0], ibuffer[:,1], vbuffer[:,1])).T)
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df.columns = ["Time [s]", "Current [A]", "Voltage [V]"]
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return df
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@ -2,12 +2,24 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"id": "d1bb781f-f286-44cf-a3e3-181e06281487",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'keithley'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[1], line 12\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m pyplot \u001b[38;5;28;01mas\u001b[39;00m plt\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mkeithley\u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mfile_io\u001b[39;00m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmeasure\u001b[39;00m\n",
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"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'keithley'"
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]
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}
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],
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"source": [
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"\"\"\"\n",
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"INIT:connect to keithley\n",
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@ -1,10 +1,9 @@
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-- reset smua
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smua.reset()
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smua.measure.autorangev = smua.AUTORANGE_ON
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smua.measure.autorangei = smua.AUTORANGE_ON
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smua.measure.autozero = smua.AUTOZERO_ONCE
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-- set output to 0A DC
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smua.source.output = smua.OUTPUT_OFF
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smua.source.func = smua.OUTPUT_DCAMPS
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smua.source.leveli = smua.OUTPUT_OFF
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-- smua.measure.rangev = 20
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