# Entry Level, Single Machine

# https://jupyter.org/try
# oder:
  #  apt-get install libatlas-base-dev
  #  pip3 install numpy
  #  (pip install matplotlib==2.0.2 (py2: sonst Problem mit "functools_lru_cache"))
  #  sudo apt-get install python-scipy
  #  sudo apt update
  #  sudo apt install libatlas-base-dev
  #  pip3 install pybind11
  #  pip3 install scipy
  #  apt install python3-gi-cairo

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0,5,100) # Start und Ende der x-Achse 
plt.figure(figsize=(10,8)) # Inches
plt.title('Entry Level, Single Machine')
plt.xlabel('Jahre', color='black')
plt.ylabel('Euro', color='black')

# NW-110 Essential
y = 240*x+190
plt.plot(x, y, label='NW-110 Essential', color='blue', linestyle='solid')

# NW-140 Essential
y = 360*x+190
plt.plot(x, y, label='NW-140 Essential', color='darkblue', linestyle='dashed')

# FG-30E FortiCare
y = 80*x+393
plt.plot(x, y, label='FG-30E FortiCare', color='lightgreen', linestyle='dotted')

# FG-40F FortiCare
y = 91*x+453
plt.plot(x, y, label='FG-40F FortiCare', color='green', linestyle='dashdot')

# Plot
plt.legend(loc='upper left')
plt.grid()
plt.show()