From 7b21727285e50b0b050c4ddd70d07542229c5366 Mon Sep 17 00:00:00 2001
From: pants <niklasjo2004@gmail.com>
Date: Mon, 21 Sep 2026 14:17:03 -0700
Subject: init

---
 python/other/lab6.py | 17 +++++++++++++++++
 python/other/slop.py | 21 +++++++++++++++++++++
 2 files changed, 38 insertions(+)
 create mode 100755 python/other/lab6.py
 create mode 100644 python/other/slop.py

(limited to 'python/other')

diff --git a/python/other/lab6.py b/python/other/lab6.py
new file mode 100755
index 0000000..f41e9bc
--- /dev/null
+++ b/python/other/lab6.py
@@ -0,0 +1,17 @@
+import numpy as np
+
+data = [384, 381, 384, 383, 385, 382, 384, 383, 384, 382]
+
+# print(np.average(data))
+# print(np.std(data))
+
+data2 = [1.32, 1.40, 1.48, 1.35]
+
+print(np.average(data2))
+print(np.std(data2))
+
+data3 = [0.27,0.30,0.30,0.31,0.29,0.27]
+
+# print(np.average(data3))
+# print(np.std(data3))
+
diff --git a/python/other/slop.py b/python/other/slop.py
new file mode 100644
index 0000000..5ba8ccf
--- /dev/null
+++ b/python/other/slop.py
@@ -0,0 +1,21 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Open and read the file
+with open(".power_log", "r", encoding="utf-8") as f:
+    data = f.readlines()
+
+# Extract numerical values from each line
+measurements = [float(line.strip()) for line in data]
+
+# Generate time values (assuming measurements are taken every second)
+time_values = np.arange(len(measurements))
+
+# Plot the data
+plt.figure(figsize=(10, 6))
+plt.plot(time_values, measurements, marker='o', linestyle='-')
+plt.title('Power Measurements Over Time')
+plt.xlabel('Time (seconds)')
+plt.ylabel('Power Measurement')
+plt.grid(True)
+plt.show()
-- 
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