Heatmap samt Erzeugerskript hinzugefügt.

Sie wird aus mathplotlib mit seaborn generiert.

grafik/heatmap/heatmap.py

@@ -0,0 +1,55 @@
+#!/usr/bin/env python
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib.image as mpimg
+import seaborn as sns 
+
+f = open("faust.txt", "r")
+str = f.read()
+
+LAYOUT = ["xvlcwkhgfqß","uiaeosnrtdy","üöäpzbm,.j"]
+#LAYOUT = ["qwertzuiopü","asdfghjklöö","yxcvbnm;:-"]
+
+# we create two vertically offset data points for each key
+# to visually vertically stretch the result
+d = {}
+for i in range(len(LAYOUT[0])):
+    x = LAYOUT[0][i]
+    X = x.upper()
+    d[x] = [(73+i*36), (62-10),0]
+    d[X] = [(73+i*36), (62+0),0]
+for i in range(len(LAYOUT[1])):
+    x = LAYOUT[1][i]
+    X = x.upper()
+    d[x] = [(84+i*36), (98-10),0]
+    d[X] = [(84+i*36), (98+0),0]
+for i in range(len(LAYOUT[2])):
+    x = LAYOUT[2][i]
+    X = x.upper()
+    d[x] = [(101+i*36), (134-10),0]
+    d[X] = [(101+i*36), (134+0),0]
+
+for x in str:
+    x = x.lower()
+    X = x.upper()
+    if x in d.keys():
+        d[x][2] += 1
+        d[X][2] += 1
+
+df = pd.DataFrame.from_dict(d, orient="index", columns=["x","y","z"])
+fig = plt.figure(figsize=(5.35, 1.83), dpi=100)
+ax= fig.add_axes([0,0,1,1])
+img = mpimg.imread("neo.png")
+sns.kdeplot(data=df, x="x",y="y",weights="z",
+            cmap='rainbow', fill=True, alpha=1,
+            bw_adjust=0.5, thresh=0,
+            cut=800, clip=((0,535),(0,183)),
+            levels=1000)
+
+ax.imshow(img, alpha=0.4, zorder=5)
+ax.axes.get_xaxis().set_visible(False)
+ax.axes.get_yaxis().set_visible(False)
+ax.set_frame_on(False)
+ax.axis('off')
+plt.savefig('heatmap.png')