MANIFEST.in

@@ -0,0 +1,2 @@
+include regina/package-data/*
+include regina/sql/*.sql

m_teng/m_teng_interactive.py

@@ -66,7 +66,7 @@ from m_teng.utility.data import load_dataframe
 from m_teng.utility import file_io
 from m_teng.update_funcs import _Monitor, _ModelPredict, _update_print
 
-config_path = path.expanduser("~/.config/m-teng.json")
+config_path = path.expanduser("~/.config/k-teng.json")
 
 _runtime_vars = {
     "last-measurement": ""
@@ -75,7 +75,7 @@ _runtime_vars = {
 settings = {
     "datadir":      path.expanduser("~/data"),
     "name":         "measurement",
-    "interval":     0.02,
+    "interval":     0.05,
     "beep":         True,
 }
 

m_teng/utility/data.py

@@ -1,13 +1,12 @@
 import pandas as pd
 import numpy as np
 from os import path
-import matplotlib.pyplot as plt
+import matplotlib.pyplot
 
-# deprecated
-# def buffer2dataframe(buffer):
-#     df = pd.DataFrame(buffer)
-#     df.colums = ["Time [s]", "Voltage [V]"]
-#     return df
+def buffer2dataframe(buffer):
+    df = pd.DataFrame(buffer)
+    df.colums = ["Time [s]", "Voltage [V]"]
+    return df
 
 def buffers2dataframe(ibuffer, vbuffer):
     """
@@ -33,37 +32,22 @@ def load_dataframe(p:str):
         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
-    """
+
+def plot(data):
     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
-
+        data = load_dataframe(data)
+    if type(data) == pd.Dataframe:
+        data = data.to_numpy()
+    fig1, (vax, iax) = plt.subplots(2, 1, figsize=(8, 5))
+    # todo
 
 
+    vline, = vax.plot(index, vdata, color="m")
+    vax.set_ylabel("Voltage [V]")
+    vax.grid(True)
 
+    vax.plot()
 
+    iline, = iax.plot(index, idata, color="m")
+    iax.set_ylabel("Current [A]")
+    iax.grid(True)

pyproject.toml

@@ -20,7 +20,6 @@ classifiers = [
 dependencies = [
     "matplotlib>=3.6",
     "numpy",
-    "pandas",
 ]
 
 [project.optional-dependencies]

readme.md

@@ -1,8 +1,6 @@
 # m-TENG
 Helper scripts and shell for measuring **T**ribo**e**lectric **N**ano**g**enerator-based sensor output with a Keithley 2600B SMU or an Arduino
 
-This project was written for my bachelor's thesis.
-
 ## Features
 
 ### Interactive (shell) mode
@@ -35,7 +33,7 @@ Use the shell without measuring TENG output. When starting a measurement, sample
 ## Shell mode
 It is recommended to run the shell with ipython:
 ```shell
-ipython -i m_teng_interactive.py -- -*X*
+ipython -i k_teng_interactive.py -- -*X*
 ```
 Substitute *X* for `-k` for keithley backend, `-a` for arduino backend or `-t` for testing backend.