vault backup: 2025-12-12 13:06:31

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

@@ -51,37 +51,30 @@ Ideen:
 
 
 ```python
-from matplotlib.patches import Patch
+# Plot
+fig, ax = plt.subplots(figsize=(9,6))
+ax.plot(norm_x, norm_height, color='r')
 
-colors = ['#0095D9','#F7EC59','#CBBE4A'] # Color Picker helps
+# filling under the curve
+ax.fill_between(x_percentile, y_percentile, 0, alpha=.5, color='#fa0000')
 
-plt.pie(
-    [0.8, 0.15, 0.05], # Try and Error ratios
-    colors=colors,
-    startangle=-55
-)
 
-plt.legend(
-    labels=["Sky", "Sunny side of pyramid", "Shady side of pyramid"],
-    # Set right color and size for Patches
-    handles=[Patch(facecolor=color) for color in colors],
-    handlelength=1,
-    handleheight=1,
-    # Move Legend to the right
-    loc="center left",
-    bbox_to_anchor=(1, 0.5),
-    fontsize=16,
-    # Disable background and edge
-    facecolor='none',
-    edgecolor='none'
-)
-
-plt.tight_layout() # Layout shouldnt Overflow
+# 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'
+    )
 
+# Show
+plt.title("Woman Height Normal Distribution")
+plt.xlabel("Height")
+plt.yticks([]) # hide y
 plt.show()
 ```
 
 
-
+$$\text{Birth Rate} = \frac{B}{P} * 1000$$