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| Date | Name | Thumbnail | Size | User | Description | Versions |
|---|---|---|---|---|---|---|
| 21:18, 10 June 2016 | Bessely,n=0glyph.png (file) |  |
7 KB | Tom | Category:Besselyglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(0.1,25,0.01) x2=np.arange(-25,25,0.1) f=np.vectorize(... | 1 |
| 21:12, 10 June 2016 | Besselj,n=1glyph.png (file) |  |
8 KB | Tom | Category:Besseljglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-15,15,0.1) x2=np.arange(-15,15,0.1) f=np.vectorize(l... | 1 |
| 21:08, 10 June 2016 | Besselj,n=0glyph.png (file) |  |
8 KB | Tom | Category:Besseljglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-15,15,0.1) x2=np.arange(-15,15,0.1) f=np.vectorize(l... | 1 |
| 20:59, 10 June 2016 | Complexanger,n=0.5glyph.png (file) |  |
26 KB | Tom | Category:Angerglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 def angerintegrand(t,n,x): return cos(n*t-x*sin(t)) def an... | 1 |
| 20:38, 10 June 2016 | Complexhankel2,n=1glyph.png (file) |  |
22 KB | Tom | Category:hankelh2glyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: hankel2(1,x),[-10,10],[-10,10],points=40000,ver... | 1 |
| 20:32, 10 June 2016 | Complexhankel2,n=0glyph.png (file) |  |
22 KB | Tom | Category:hankel2glyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: hankel2(0,x),[-10,10],[-10,10],points=40000,verb... | 1 |
| 20:28, 10 June 2016 | Complexhankel1,n=2glyph.png (file) |  |
22 KB | Tom | Category:hankel1glyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: hankel1(1,x),[-10,10],[-10,10],points=40000,verb... | 1 |
| 20:21, 10 June 2016 | Complexhankel1,n=1glyph.png (file) |  |
22 KB | Tom | Category:Hankelh1glyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: hankel1(1,x),[-10,10],[-10,10],points=40000,ver... | 1 |
| 20:09, 10 June 2016 | Complexhankel1,n=0glyph.png (file) |  |
22 KB | Tom | Category:hankel1glyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: hankel1(0,x),[-10,10],[-10,10],points=40000,verb... | 1 |
| 19:59, 10 June 2016 | Complexscorerhiglyph.png (file) |  |
33 KB | Tom | Category:Scorerhiglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(scorerhi,[-10,10],[-10,10],points=40000,verbose=True) plt... | 1 |
| 19:57, 10 June 2016 | Complexscorergiglyph.png (file) |  |
41 KB | Tom | Category:Scorergiglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(scorergi,[-10,10],[-10,10],points=40000,verbose=True) plt... | 1 |
| 19:42, 10 June 2016 | Scorerhiglyph.png (file) |  |
4 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-3,3,0.1) x2=np.arange(-1,15,0.1) f=np.vectorize(scorerhi) y=f... | 1 |
| 19:37, 10 June 2016 | Scorergiglyph.png (file) |  |
6 KB | Tom | Category:scorergiglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-10,20,0.1) f=np.vectorize(scorergi) y=f(x) def g(x)... | 1 |
| 19:27, 10 June 2016 | Multiplebesseljplot.png (file) |  |
139 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(-40,40,0.01); j0=np.vectorize(lambda x: besselj(0,x)) j1=np.vec... | 2 |
| 19:24, 10 June 2016 | Multiplebesselyplot.png (file) |  |
107 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(0.01,20,0.01); j0=np.vectorize(lambda x: bessely(0,x)) j1=np.ve... | 1 |
| 22:59, 9 June 2016 | Scorerhiplot.png (file) |  |
23 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(-5,3,0.01); f=np.vectorize(scorerhi) y=f(x) def g(x): r... | 1 |
| 22:56, 9 June 2016 | Scorergiplot.png (file) |  |
48 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(-20,30,0.01); f=np.vectorize(scorergi) y=f(x) def g(x):... | 1 |
| 22:46, 9 June 2016 | Complexscorerhi.png (file) |  |
147 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(scorerhi,[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{Hi}(z)$.') plt.savefig('comp... | 1 |
| 22:39, 9 June 2016 | Complexscorergi.png (file) |  |
177 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(scorergi,[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{Gi}(z)$.') plt.savefig('comp... | 1 |
| 20:44, 9 June 2016 | Bessely,n=0plot.png (file) |  |
42 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(0.01,20,0.001); f=np.vectorize(lambda x: bessely(0,x)) y=f(x)... | 1 |
| 20:08, 9 June 2016 | Complexbessely,n=1.png (file) |  |
122 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: bessely(1,x),[-8,8],[-8,8],points=50000,verbose=True) plt.title(r'Domain coloring of $Y_1(z)$.') plt.savefig('co... | 1 |
| 20:06, 9 June 2016 | Complexbessely,n=0.png (file) |  |
124 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: bessely(0,x),[-8,8],[-8,8],points=50000,verbose=True) plt.title(r'Domain coloring of $Y_0(z)$.') plt.savefig('co... | 1 |
| 19:35, 9 June 2016 | Complexjacobisn,m=0.8glyph.png (file) |  |
26 KB | Tom | Category:jacobisn <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('sn',x,0.8),[-4,4],[-4,4],points=40000,verb... | 1 |
| 19:33, 9 June 2016 | Complexjacobisd,m=0.8glyph.png (file) |  |
34 KB | Tom | Category:jacobisdglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('sd',x,0.8),[-4,4],[-4,4],points=40000... | 1 |
| 19:31, 9 June 2016 | Complexjacobisc,m=0.8glyph.png (file) |  |
31 KB | Tom | Category:jacobisc <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('sc',x,0.8),[-4,4],[-4,4],points=40000,verb... | 1 |
| 19:29, 9 June 2016 | Complexjacobins,m=0.8glyph.png (file) |  |
26 KB | Tom | Category:jacobinsglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('ns',x,0.8),[-4,4],[-4,4],points=40000... | 2 |
| 19:27, 9 June 2016 | Complexjacobind,m=0.8glyph.png (file) |  |
28 KB | Tom | Category:Jacobind <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('ns',x,0.8),[-4,4],[-4,4],points=40000,verb... | 1 |
| 19:25, 9 June 2016 | Complexjacobinc,m=0.8glyph.png (file) |  |
35 KB | Tom | Category:jacobincglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('nc',x,0.8),[-4,4],[-4,4],points=40000... | 1 |
| 19:23, 9 June 2016 | Complexjacobids,m=0.8glyph.png (file) |  |
34 KB | Tom | Category:jacobids <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('ds',x,0.8),[-4,4],[-4,4],points=40000,verb... | 1 |
| 19:20, 9 June 2016 | Complexjacobidc,m=0.8glyph.png (file) |  |
31 KB | Tom | Category:Jacobidcglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('dc',x,0.8),[-4,4],[-4,4],points=40000... | 1 |
| 19:17, 9 June 2016 | Complexjacobidn,m=0.8glyph.png (file) |  |
28 KB | Tom | Category:Jacobidnglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('dn',x,0.8),[-4,4],[-4,4],points=40000... | 1 |
| 19:13, 9 June 2016 | Complexjacobics,m=0.8glyph.png (file) |  |
32 KB | Tom | Category:Jacobicsglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('cs',x,0.8),[-4,4],[-4,4],points=40000... | 1 |
| 19:12, 9 June 2016 | Complexjacobicd,m=0.8glyph.png (file) |  |
31 KB | Tom | Category:jacobicdglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('cd',x,0.8),[-4,4],[-4,4],points=40000... | 1 |
| 19:10, 9 June 2016 | Complexjacobicn,m=0.8glyph.png (file) |  |
35 KB | Tom | Category:jacobicnglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.5, 2.5 cplot(lambda x: ellipfun('cn',x,0.8),[-4,4],[-4,4],points=40000... | 1 |
| 18:58, 9 June 2016 | Jacobisn,m=0.8glyph.png (file) |  |
7 KB | Tom | Category:jacobisnglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('sn... | 1 |
| 18:56, 9 June 2016 | Jacobisd,m=0.8glyph.png (file) |  |
6 KB | Tom | Category:jacobisdglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('sd... | 1 |
| 18:53, 9 June 2016 | Jacobisc,m=0.8glyph.png (file) |  |
6 KB | Tom | Category:jacobiscglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('sc... | 1 |
| 18:51, 9 June 2016 | Jacobins,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobinsglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('ns... | 1 |
| 18:46, 9 June 2016 | Jacobind,m=0.8glyph.png (file) |  |
7 KB | Tom | Category:Jacobindglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-7.1,7.1,0.001) f=np.vectorize(lambda x: ellipfun('nd... | 1 |
| 18:40, 9 June 2016 | Jacobinc,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobincglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-7.1,7.1,0.001) f=np.vectorize(lambda x: ellipfun('nc... | 1 |
| 18:31, 9 June 2016 | Jacobids,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobidsglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-9.1,9.1,0.001) f=np.vectorize(lambda x: ellipfun('ds... | 2 |
| 18:11, 9 June 2016 | Jacobidn,m=0.8glyph.png (file) |  |
7 KB | Tom | Category:Jacobidnglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-6.7,6.7,0.001) f=np.vectorize(lambda x: ellipfun('dn... | 1 |
| 18:01, 9 June 2016 | Jacobidc,m=0.8glyph.png (file) |  |
5 KB | Tom | Category:Jacobidcglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-6.9,6.9,0.001) f=np.vectorize(lambda x: ellipfun('dc... | 1 |
| 17:57, 9 June 2016 | Jacobics,m=0.8glyph.png (file) |  |
6 KB | Tom | Category:Jacobicsglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-7.5,7.5,0.001) f=np.vectorize(lambda x: ellipfun('cs... | 1 |
| 17:49, 9 June 2016 | Jacobicd,m=0.8glyph.png (file) |  |
7 KB | Tom | Category:Jacobicdglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-13,13,0.001) f=np.vectorize(lambda x: ellipfun('cd',... | 2 |
| 17:47, 9 June 2016 | Jacobicn,m=0.8glyph.png (file) |  |
6 KB | Tom | Category:Jacobicnglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 x=np.arange(-13,13,0.001) f=np.vectorize(lambda x: ellipfun('cn',... | 2 |
| 07:03, 9 June 2016 | Sechplot.png (file) |  |
35 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(-7,7,0.01); f=np.vectorize(sech) y=f(x) def g(x): retur... | 2 |
| 06:59, 9 June 2016 | Cschplot.png (file) |  |
26 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x1=np.arange(-6,-0.01,0.01); x2=np.arange(0.01,6,0.01); x3=np.arange(-10,10... | 2 |
| 06:52, 9 June 2016 | Tanhplot.png (file) |  |
25 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(-5,5,0.01); f=np.vectorize(tanh) y=f(x) fig, ax = plt.subplots... | 2 |
| 06:50, 9 June 2016 | Coshplot.png (file) |  |
34 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 x=np.arange(-5,5,0.01); f=np.vectorize(cosh) y=f(x) fig, ax = plt.subplots... | 2 |
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