programmieren at Universität Düsseldorf

Flashcards and summaries for programmieren at the Universität Düsseldorf

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Study with flashcards and summaries for the course programmieren at the Universität Düsseldorf

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

wie oft Element v in Liste L vorkommt

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

a (write + append)

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

inverse Fouriertransformation 


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Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

Unterlisten in Listen 

Bsp.: p = [ [0.1, 0.2, 0], [-0.1, 0.2, 2], [-0.3, -0.1, 1], [-0.1, 0.2, 1.5], [-0.05, 0.5, 2], [0.2,0.6,3],

      [0.02, 0.3, 2.2], [-0.02, -0.2, 0] ]

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

%matplotlib notebook

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

im Plot nur Punkte, aber keine Linien dazwischen

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

array aus Nullen mit Nx-Punkten in x-Richtung und Ny-Punkten in y-Richtung

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Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

gleichmäßige lineare Verteilung in einem Array von n Zahlen im Intervall [p,q]

- Defaultwert (Voreinstellung) für n=50

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

Vor der Rücktransformation müssen Sie jedoch die Umsortierung der Moden rückgängig machen, was sich durch

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

import matplotlib.pyplot as plt

Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

float

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Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

Skalierung des Graphen

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Exemplary flashcards for programmieren at the Universität Düsseldorf on StudySmarter:

programmieren

wie oft Element v in Liste L vorkommt

L.count(v)

programmieren

a (write + append)

neu geschriebenes wird angehängt

programmieren

inverse Fouriertransformation 


np.fft.ifft()

programmieren

Unterlisten in Listen 

Bsp.: p = [ [0.1, 0.2, 0], [-0.1, 0.2, 2], [-0.3, -0.1, 1], [-0.1, 0.2, 1.5], [-0.05, 0.5, 2], [0.2,0.6,3],

      [0.02, 0.3, 2.2], [-0.02, -0.2, 0] ]

p[i][k] i=Zugriff auf i-te Unterliste, k=Zugriff auf k-te Beitrag der unterliste

p[0][0]=0.1

programmieren

%matplotlib notebook

zoomfähiges und verkleinertes Notizbuch

programmieren

im Plot nur Punkte, aber keine Linien dazwischen

plt.plot (x,y, 'b.' , markersize=0.1)

 markersize=Größe der Punkte

'b.' =Farbe blau


plt.plot(P[:,0],P[:,1],'b.', markersize=0.1)

plotten alle X (1.Spalte) und Y-werte (2.Spalte)

programmieren

array aus Nullen mit Nx-Punkten in x-Richtung und Ny-Punkten in y-Richtung

M=np.zeros((Ny,Nx))

programmieren

gleichmäßige lineare Verteilung in einem Array von n Zahlen im Intervall [p,q]

- Defaultwert (Voreinstellung) für n=50

a = linspace(p,q,n)

programmieren

Vor der Rücktransformation müssen Sie jedoch die Umsortierung der Moden rückgängig machen, was sich durch

np.fft.ifft(np.fft.fftshift(fs)) 


programmieren

import matplotlib.pyplot as plt

Abkürzung für plt-Befehl

programmieren

float

einzelne Strings in Fließkommazahlen

programmieren

Skalierung des Graphen

plt.figure(figsize=[5,5])

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