Neo ist eine ergonomische Tastaturbelegung, welche für die deutsche Sprache optimiert ist.
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#!/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 =
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)),
ax.imshow(img, alpha=0.4, zorder=5)