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| Date | Name | Thumbnail | Size | User | Description | Versions |
|---|---|---|---|---|---|---|
| 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 |
| 06:48, 9 June 2016 | Sinhplot.png (file) |  |
29 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(sinh) y=f(x) fig, ax = plt.subplots... | 2 |
| 06:12, 6 June 2016 | Trig Functions Diagram.svg (file) |  |
10 KB | Tom | [https://en.wikipedia.org/wiki/Versine#/media/File:Circle-trig6.svg from Wikipedia] | 1 |
| 07:05, 4 June 2016 | Complexdilogarithmplot.png (file) |  |
90 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * def dilogarithm(x): return x*hyp3f2(1,1,1,2,2,x) cplot(dilogarithm,[-4,4],[-4,4],points=50000,verbose=True) plt.title(r'... | 1 |
| 05:39, 4 June 2016 | Complexlogarithm.png (file) |  |
82 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(log,[-4,4],[-4,4],points=50000,verbose=True) plt.title(r'Domain coloring of $\log(z)$.') plt.savefig('complexlogarithm.png... | 1 |
| 05:34, 4 June 2016 | Logarithmplot.png (file) |  |
28 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(0.01,10,0.01); x2=np.arange(-10,10,1); f=np.vectorize(log) y=f(... | 1 |
| 02:01, 4 June 2016 | Complexidentityplot.png (file) |  |
96 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * def f(x): return x cplot(f,[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{id}(z)$.... | 1 |
| 19:47, 3 June 2016 | Celingplot.png (file) |  |
16 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(ceil) y=f(x) fig, ax = plt.subplots... | 1 |
| 19:44, 3 June 2016 | Floorplot.png (file) |  |
16 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(floor) y=f(x) fig, ax = plt.subplot... | 1 |
| 19:13, 3 June 2016 | Complexpolygamma,k=5plot.png (file) |  |
169 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: polygamma(5,x),[-8,8],[-8,8],points=50000,verbose=True) plt.title(r'Domain coloring of $\psi^{(5)}(z)$.') plt.sa... | 1 |
| 19:09, 3 June 2016 | Complexpolygamma,k=4plot.png (file) |  |
163 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: polygamma(4,x),[-8,8],[-8,8],points=50000,verbose=True) plt.title(r'Domain coloring of $\psi^{(4)}(z)$.') plt.sa... | 1 |
| 19:04, 3 June 2016 | Complexpolygamma,k=3plot.png (file) |  |
155 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: polygamma(3,x),[-8,8],[-8,8],points=50000,verbose=True) plt.title(r'Domain coloring of $\psi^{(3)}(z)$.') plt.sa... | 1 |
| 19:02, 3 June 2016 | Complexpolygamma,k=2plot.png (file) |  |
144 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: polygamma(2,x),[-8,8],[-8,8],points=50000,verbose=True) plt.title(r'Domain coloring of $\psi^{(2)}(z)$.') plt.sa... | 1 |
| 18:57, 3 June 2016 | Complexpolygamma,k=1plot.png (file) |  |
123 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: polygamma(1,x),[-8,8],[-8,8],points=50000,verbose=True) plt.title(r'Domain coloring of $\psi^{(1)}(z)$.') plt.sa... | 1 |
| 18:48, 3 June 2016 | Complexdigammaplot.png (file) |  |
95 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(digamma,[-4,4],[-4,4],points=50000,verbose=True) plt.title(r'Domain coloring of $\psi(z)=\psi^{(0)}(z)$.') plt.savefig('co... | 1 |
| 18:25, 3 June 2016 | Complexbarnesgglyph.png (file) |  |
36 KB | Tom | Category:barnesgglyph <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(barnesg,[-10,10],[-10,10],points=40000,verbose=True) plt.s... | 1 |
| 18:05, 3 June 2016 | Barnesgglyph.png (file) |  |
5 KB | Tom | Category:barnesgglyph <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(-4,3,0.1) x2=np.arange(-0.5,2,1) f=np.vectorize(barnes... | 1 |
| 17:42, 25 May 2016 | Complexjacobisd,m=0.8plot.png (file) |  |
232 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('sd',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{sd}(z,... | 1 |
| 17:40, 25 May 2016 | Complexjacobisc,m=0.8plot.png (file) |  |
205 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('sc',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{sc}(z,... | 1 |
| 17:37, 25 May 2016 | Complexjacobins,m=0.8plot.png (file) |  |
199 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('ns',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{ns}(z,... | 1 |
| 17:34, 25 May 2016 | Complexjacobind,m=0.8plot.png (file) |  |
203 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('nd',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{nd}(z,... | 1 |
| 17:31, 25 May 2016 | Complexjacobinc,m=0.8plot.png (file) |  |
231 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('nc',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{nc}(z,... | 1 |
| 17:28, 25 May 2016 | Complexjacobids,m=0.8plot.png (file) |  |
231 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('ds',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{ds}(z,... | 1 |
| 17:26, 25 May 2016 | Complexjacobidn,m=0.8plot.png (file) |  |
203 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('dn',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{dn}(z,... | 1 |
| 17:23, 25 May 2016 | Complexjacobidc,m=0.8plot.png (file) |  |
184 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('dc',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{dc}(z,... | 1 |
| 17:20, 25 May 2016 | Complexjacobics,m=0.8plot.png (file) |  |
205 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('cs',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{cs}(z,... | 1 |
| 17:17, 25 May 2016 | Complexjacobicd,m=0.8plot.png (file) |  |
185 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('cd',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{cd}(z,... | 1 |
| 17:14, 25 May 2016 | Complexjacobicn,m=0.8plot.png (file) |  |
231 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('cn',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{cn}(z,... | 1 |
| 17:11, 25 May 2016 | Complexjacobisn,m=0.8plot.png (file) |  |
199 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: ellipfun('cn',x,0.8),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{cn}(z,... | 1 |
| 16:59, 25 May 2016 | Ellipticeplot.png (file) |  |
31 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(-5,1,0.001); f=np.vectorize(ellipe) y=f(x) fig, ax = plt.subpl... | 1 |
| 16:57, 25 May 2016 | Complexellipticeplot.png (file) |  |
65 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(ellipe,[-5,5],[-5,5],points=50000,verbose=True) plt.title(r'Domain coloring of $E(z)$.') plt.savefig('complexellipticeplot... | 1 |
| 16:48, 25 May 2016 | Complexelliptickplot.png (file) |  |
60 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(ellipk,[-5,5],[-5,5],points=50000,verbose=True) plt.title(r'Domain coloring of $K(z)$.') plt.savefig('complexelliptickplot... | 1 |
| 16:42, 25 May 2016 | Elliptickplot.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(-1,1,0.001); f=np.vectorize(ellipk) y=f(x) fig, ax = plt.subpl... | 1 |
| 22:12, 24 May 2016 | Arcsechplot.png (file) |  |
29 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(0.0001,0.999,0.00001); f=np.vectorize(asech) y=f(x) x2=np.arang... | 1 |
| 22:04, 24 May 2016 | Complexarcsechplot.png (file) |  |
64 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(asech,[-3,3],[-3,3],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{arcsech}(z)$.') plt.savefig('comple... | 1 |
| 22:01, 24 May 2016 | Complexarccschplot.png (file) |  |
96 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(acsch,[-15,15],[-15,15],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{arccsch}(z)$.') plt.savefig('co... | 1 |
| 21:55, 24 May 2016 | Arccschplot.png (file) |  |
29 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(-4,-0.0001,0.03); x2=np.arange(0.001,4,0.03); x3=np.arange(-5,... | 1 |
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