File:MDKQ anim ohne Ausreiser1.svg

From Wikimedia Commons, the free media repository
Jump to navigation Jump to search

Original file (SVG file, nominally 512 × 398 pixels, file size: 33 KB)

Captions

Captions

Add a one-line explanation of what this file represents

Summary

[edit]
Description
Deutsch: Teilbild einer Animation Polynomapproximation unterschiedlicher Polynomordnung
Date
Source MDKQ anim ohne Ausreiser.gif
Author Johannes Kalliauer
Other versions File:MDKQ anim ohne Ausreiser.gif

Licensing

[edit]
I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Quellen: Skript zur Bildgenerierung

[edit]

Erzeugungsskript, um die Grafik zu erstellen.

Anleitung

[edit]

Benötigte Open-Source-Software:

Nach der Installation von Python den Quelltext in eine Datei mdkq.py kopieren und starten durch Doppelklicken oder in der Konsole durch Eingabe von

python mdkq.py

Python-Skript

[edit]
 
This plot was created with Matplotlib by v.
#This source code is public domain
#Created by Christian Schirm
#Edited by Johannes Kalliauer
import numpy, pylab
from matplotlib.font_manager import FontProperties
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from numpy.random import randn

x=[1,2,3,4,5,7]
y=[2.0,2.5,2.5,3.4,3.7,3]

for N in range(1,8):
   A=numpy.zeros((N,N))
   for i in range(N):
       for j in range(N):
           A[i,j]=sum(xi**(i+j) for xi in x)
   b=numpy.zeros((N))
   for i in range(N):
       b[i]=sum(xi**(i)*yi for xi,yi in zip(x,y))
   c=numpy.linalg.solve(A, b)
   xr=numpy.asarray(x)
   yr=numpy.sum([c[i]*xr**i for i in range(len(c))],axis=0)
   residuen=[]
   for i in range(len(x)): residuen+=[[xr[i],xr[i]],[y[i],yr[i]],'g-']
   xneu=numpy.linspace(0, 8, num=100)
   yneu=numpy.sum([c[i]*xneu**i for i in range(len(c))],axis=0)
   plt.clf()
   fig = plt.figure(figsize=(4.5, 3.5))
   fig.subplotpars.bottom=0.13
   y0=plt.plot(*residuen[:-3])
   plt.setp(y0, color='#80d080', linewidth=1.5)
   #y0=plt.plot(*residuen[-3:], label="Residuen")
   y0,=plt.plot(*residuen[-3:])
   plt.setp(y0, color='#80d080', linewidth=1.5)
   #y2=plt.plot(xneu,yneu,'r-', label="Modellfunktion")
   y2,=plt.plot(xneu,yneu,'r-')
   #y1=plt.plot(x,y,'o', label="Messpunkte")
   y1,=plt.plot(x,y,'o')
   plt.xlabel('x')
   plt.ylabel('y')
   font = FontProperties()
   font.set_size('medium')
   leg = plt.legend([y1,y2,y0],['Messpunkte','Modellfunktion','Residuen'],frameon=True,loc='lower right',labelspacing=0.3,prop=font)
   #leg = plt.legend(frameon=True,loc='lower right',labelspacing=0.3,prop=font)
   plt.grid(True)
   plt.axis([0, 8, 0, 8])
   plt.text(1,7, "Polynomgrad "+str(N-1),bbox=dict(boxstyle="square,pad=0.5",color='white',ec='black',fill=True))
   #plt.show()
   plt.savefig('MDKQ_anim%i.png'%N)
   plt.savefig('test.eps', format='eps', dpi=900)
   plt.savefig("MDKQ_anim%i.svg"%N)

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current12:03, 18 July 2017Thumbnail for version as of 12:03, 18 July 2017512 × 398 (33 KB)JoKalliauer (talk | contribs)
12:02, 18 July 2017Thumbnail for version as of 12:02, 18 July 2017512 × 398 (33 KB)JoKalliauer (talk | contribs)

The following 2 pages use this file:

File usage on other wikis

Metadata