vault backup: 2025-12-19 12:52:14

Documents/Arbeit/IFN/Programmieren WiSe 25 26/Time Table.md

@@ -51,27 +51,26 @@ Ideen:
 
 
 ```python
-# Plot
-fig, ax = plt.subplots(figsize=(9,6))
-ax.plot(norm_x, norm_height, color='r')
-
-# filling under the curve
-ax.fill_between(x_percentile, y_percentile, 0, alpha=.5, color='#fa0000')
+gain_week = [
+    rand.uniform(-2.5, 2.5, sims)
+    for _ in range(7)
+]
 
 
-# Set text
-ax.text(0.4,0.18,
-        f"80th percentile of Womens heigth\n fall under {avg_percentile:.1f}cm",
-        ha='center', va='center', transform=ax.transAxes,
-        bbox={'facecolor':'#fafafa','alpha':1,'edgecolor':'none','pad':1},
-        color='#de2e0b'
-    )
+duration = np.zeros(sims)
+for gain in gain_week:
+    duration += gain
+duration += men
 
-# Show
-plt.title("Woman Height Normal Distribution")
-plt.xlabel("Height")
-plt.yticks([]) # hide y
+gain_percent = float(
+	np.round((duration < avg_weight-3).sum()/sims, decimals=2)
+	)
+
+plt.figure(figsize=(10,5))
+plt.hist(duration, density=True) 
+plt.axvline(avg_weight-3, color='r') 
 plt.show()
+print(gain_percent)
 ```