init

data/data.txt

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+I am data (:

data/media.txt

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+I am media :P

flexvolt.py

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+#!/bin/python
+# author: phga
+# date: 2021-04-08
+# desc: Script that turns flexvolt exports/recordings into 2x2 plots
+import os
+import seaborn as sns
+import matplotlib.pyplot as mp
+from pandas import read_csv
+
+sns.set_theme(style="white", color_codes=True)
+sns.set_palette("colorblind")
+
+plot_dir = "../flexvolt_plots"
+typing_tests = []
+
+# Collect all tests
+for root, sub, files in os.walk("../flexvolt"):
+    for f in files:
+        if f.endswith("txt"):
+            typing_tests.append(os.path.join(root, f))
+
+for f in typing_tests:
+    # Get participants name and datetime for test
+    subject = f.split("/")[-2]
+    date_time = f.split("flexvolt-recorded-data--")[-1].strip(".txt")
+    # Skip first row of meta_data; Only use Processed Data
+    flex_data = read_csv(f, skiprows=1, usecols=[0,5,6,7,8])
+    # Get min values to normalize data
+    start_time = flex_data["Time (ms)"][0]
+    min_c1 = flex_data["Chan 1Processed"].min()
+    min_c2 = flex_data["Chan 2Processed"].min()
+    min_c3 = flex_data["Chan 3Processed"].min()
+    min_c4 = flex_data["Chan 4Processed"].min()
+    # Subtract min values and start time from respective columns
+    flex_data = flex_data.sub([start_time, min_c1, min_c2, min_c3, min_c4])
+    # Convert ms to s
+    flex_data["Time (ms)"] *= 10**-3
+    # Create 2x2 plot
+    plot, axi = mp.subplots(2, 2)
+    # Settings for whole image
+    plot.suptitle(f'{subject}: {date_time}')
+    mp.subplots_adjust(hspace=0.5, wspace=0.5)
+    # Subplots
+    sns.lineplot(x="Time (ms)", y="Chan 2Processed", data=flex_data, ax=axi[0][0])
+    sns.lineplot(x="Time (ms)", y="Chan 1Processed", data=flex_data, ax=axi[0][1])
+    sns.lineplot(x="Time (ms)", y="Chan 4Processed", data=flex_data, ax=axi[1][0])
+    sns.lineplot(x="Time (ms)", y="Chan 3Processed", data=flex_data, ax=axi[1][1])
+    # title for each plot and counter var
+    plot_title = ["Extensor L", "Extensor R", "Flexor L", "Flexor R"]
+    i = 0
+    # Label axis
+    for rows in axi:
+        for plot in rows:
+            plot.set_ylim(-5, 300)
+            plot.set_title(plot_title[i], fontweight="bold")
+            plot.set_ylabel("Muscle Signal [µV]", fontsize="x-small")
+            plot.set_xlabel("Time [s]", fontsize="x-small")
+            i += 1
+
+    try:
+        os.mkdir(f"{plot_dir}/{subject}")
+    except OSError as error:
+        pass
+    mp.savefig(f"{plot_dir}/{subject}/{date_time}.png")

polymorphism.py

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+class Instrument:
+    def makeSound(self):
+        print("Nothing happens")
+
+class Guitar(Instrument):
+    def makeSound(self):
+        print("Epic guitar sound!!")
+
+class Piano(Instrument):
+    def makeSound(self):
+        print("Wonderful piano sound!!")
+
+def startConcert(inst):
+    inst.makeSound()
+
+i = Instrument()
+g = Guitar()
+p = Piano()
+
+startConcert(i)
+startConcert(g)
+startConcert(p)

test.py

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+#!/bin/python
+import os
+# Get directory path of currently executed script
+# E.g. /home/natascha/uni/python/test.py -> /home/natascha/uni/python
+# This always yields the above, no matter from which path the script is executed
+script_dir = os.path.dirname(os.path.realpath(__file__))
+# Join the script_dir with the directory which holds the data files
+#
+# /home/natascha/uni/python
+# ├── data
+# │   ├── data.txt
+# │   └── media.txt
+# └── test.py
+#
+# data_dir -> /home/natascha/uni/python/data
+data_dir = os.path.join(script_dir, 'data')
+# Traverse the data directory and print out the filenames with path
+for root, cur_dir, files in os.walk(data_dir):
+    for f in files:
+        print(os.path.join(root, f))