From 03d5b2d19d33bcafdfbbac2c8fc040e26ef57f59 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Motiejus=20Jak=C5=A1tys?= <desired.mta@gmail.com>
Date: Fri, 29 Nov 2019 16:53:41 +0200
Subject: [PATCH] unsuccessful polygon

---
 Karto/assignment4/draw.py    | 14 +++++++++++---
 Karto/assignment4/measure.py |  3 ++-
 2 files changed, 13 insertions(+), 4 deletions(-)

diff --git a/Karto/assignment4/draw.py b/Karto/assignment4/draw.py
index 024d95c..6fefbc6 100755
--- a/Karto/assignment4/draw.py
+++ b/Karto/assignment4/draw.py
@@ -19,7 +19,6 @@ CONTINUOUS = (1,0)
 DASHDOTX2 = (10,3,2,3)
 DASHED = (100,20)
 
-
 keliai = [
     kelias(
         id='A-08',
@@ -86,8 +85,7 @@ point_annotations = {
         17: N, 18: E, 19: N, 20: S,
         21: N, 22: S, 23: E, 24: N,
 }
-
-road_annotations = { 'A-08': W, 'A-05': N, 'A-03': N, 'G-11': E }
+road_annotations = {'A-08':W, 'A-05':N, 'A-03':N, 'G-11':E}
 
 # implementacija
 fig, ax = plt.subplots()
@@ -123,4 +121,14 @@ for id, kelias in keliai_l.items():
     offset = road_annotations[id]
     ax.annotate(id, kelias.offsets[-1].coords[0], zorder=KAT0, textcoords='offset points', xytext=offset, rotation=angle)
 
+# septynkampis
+prev_dirang = float(K1)*pi/180
+step = 5*7*pi
+heptagon = [np.array(Points[6].xy)]
+for i in range(1, 7):
+    dxy = np.array([float(D1)*cos(prev_dirang), float(D1)*sin(prev_dirang)])
+    heptagon.append(heptagon[i-1] + dxy)
+    prev_dirang += step
+ax.add_patch(PolygonPatch(asPolygon(heptagon), linewidth=2, fc='grey'))
+
 plt.show()
diff --git a/Karto/assignment4/measure.py b/Karto/assignment4/measure.py
index c1a87de..68861b8 100755
--- a/Karto/assignment4/measure.py
+++ b/Karto/assignment4/measure.py
@@ -2,6 +2,7 @@
 from collections import namedtuple
 from decimal import Decimal as Dec
 from math import sin, cos, pi
+import numpy as np
 
 def normalize(ang):
     while ang > 180:
@@ -37,7 +38,7 @@ class Vertex:
     @property
     def xy(self):
         """xy returns a tuple of lksx and lksy coordinates"""
-        return (self.coords.lksx, self.coords.lksy)
+        return np.array([float(self.coords.lksx), float(self.coords.lksy)])
 
 # Kategorijos
 KAT0, KAT1, KAT2, KAT3, KAT4 = range(5,0,-1)