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| Date | Name | Thumbnail | Size | User | Description | Versions |
|---|---|---|---|---|---|---|
| 05:19, 22 June 2016 | Greatestprimefactor,to1000.png (file) |  |
40 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt import fractions from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 def gpf(n): i = 2 while i * i <= n:... | 1 |
| 05:24, 22 June 2016 | Gpfglyph.png (file) |  |
5 KB | Tom | Category:greatestprimefactorglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt import fractions from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 def gpf(n): i = 2 whi... | 1 |
| 05:44, 22 June 2016 | Mangoldtglyph.png (file) |  |
3 KB | Tom | Category:Mangoldtglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt import fractions from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 2.4,2.4 def isValid ( n ): if (n <=0):... | 1 |
| 05:57, 22 June 2016 | Mangoldtplot.png (file) |  |
25 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt import fractions from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 def isValid ( n ): if (n <=0): ret... | 1 |
| 06:23, 22 June 2016 | Chebyshevthetaplot.png (file) |  |
24 KB | Tom | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt import fractions from mpmath import * from pylab import rcParams rcParams['figure.figsize'] = 10, 10 def isValid ( n ): if (n <=0): ret... | 2 |
| 18:32, 5 July 2016 | Complexjacobitheta1,q=0.5plot.png (file) |  |
193 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: jtheta(1,x,0.5),[-4,4],[-4,4],points=50000,verbose=True) plt.title(r'Domain coloring of $\vartheta_1(z,1/2)$.')... | 1 |
| 18:37, 5 July 2016 | Complexjacobitheta2,q=0.5plot.png (file) |  |
180 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: jtheta(2,x,0.5),[-4,4],[-4,4],points=50000,verbose=True) plt.title(r'Domain coloring of $\vartheta_2(z,1/2)$.')... | 1 |
| 18:41, 5 July 2016 | Complexjacobitheta3,q=0.5plot.png (file) |  |
172 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: jtheta(3,x,0.5),[-4,4],[-4,4],points=50000,verbose=True) plt.title(r'Domain coloring of $\vartheta_3(z,1/2)$.')... | 1 |
| 18:44, 5 July 2016 | Complexjacobitheta4,q=0.5plot.png (file) |  |
186 KB | Tom | Category:DomainColoring <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: jtheta(4,x,0.5),[-4,4],[-4,4],points=50000,verbose=True) plt.title(r'Domain coloring of $\vartheta_4(z,1/2)$.')... | 1 |
| 18:51, 5 July 2016 | Jacobitheta1,q=0.5plot.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(-15,15,0.01); f=np.vectorize(lambda x: jtheta(1,x,0.5)) y=f(x)... | 1 |
| 18:58, 5 July 2016 | Jacobitheta4,q=0.5plot.png (file) |  |
58 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(-15,15,0.01); f=np.vectorize(lambda x: jtheta(4,x,0.5)) y=f(x)... | 1 |
| 18:58, 5 July 2016 | Jacobitheta3,q=0.5plot.png (file) |  |
57 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(-15,15,0.01); f=np.vectorize(lambda x: jtheta(3,x,0.5)) y=f(x)... | 1 |
| 18:59, 5 July 2016 | Jacobitheta2,q=0.5plot.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(-15,15,0.01); f=np.vectorize(lambda x: jtheta(2,x,0.5)) y=f(x)... | 1 |
| 20:48, 5 July 2016 | Darbouxplot.png (file) |  |
70 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 def darboux(x): return nsum(lambda k: sin(fac(k+1)*x)/fac(k),[1,inf... | 2 |
| 20:55, 5 July 2016 | Faberf1plot.png (file) |  |
37 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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def faberf1(x):... | 2 |
| 20:58, 5 July 2016 | Faberf2plot.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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def faberf2(x):... | 2 |
| 21:07, 5 July 2016 | Faberf2glyph.png (file) |  |
4 KB | Tom | Category:faberf2glyph <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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def fabe... | 3 |
| 21:09, 5 July 2016 | Darbouxglyph.png (file) |  |
7 KB | Tom | Category:darbouxglyph <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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def fabe... | 4 |
| 21:12, 5 July 2016 | Faberf1glyph.png (file) |  |
5 KB | Tom | Category:faberf1glyph <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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def fabe... | 1 |
| 01:19, 6 July 2016 | Riemannplot.png (file) |  |
47 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 def riemann(x): return nsum(lambda k: sin((k**2)*x)/(k**2),[1,inf])... | 2 |
| 01:22, 6 July 2016 | Riemannglyph.png (file) |  |
6 KB | Tom | Category:riemannglyph <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 def riemann(x): return nsum(lambda k: sin((k**2)*x)/(k**2)... | 1 |
| 03:07, 6 July 2016 | Takagiglyph.png (file) |  |
6 KB | Tom | Category:takagiglyph <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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def takag... | 1 |
| 03:14, 6 July 2016 | Takagiplot.png (file) |  |
46 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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def takagi(x):... | 2 |
| 03:21, 6 July 2016 | Vanderwaerdenplot.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 def distfnc(x): return min(x-floor(x),ceil(x)-x) def vanderwaerden... | 2 |
| 03:23, 6 July 2016 | Vanderwaerdenglyph.png (file) |  |
5 KB | Tom | Category:vanderwaerdenglyph <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 def distfnc(x): return min(x-floor(x),ceil(x)-x) de... | 1 |
| 20:10, 9 July 2016 | Kelvinber,n=0glyph.png (file) |  |
5 KB | Tom | Category:kelvinberglyph <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(-8,8,0.01) f=np.vectorize(lambda x: ber(0,x)) y=f(x)... | 2 |
| 20:14, 9 July 2016 | Kelvinber,n=0.5glyph.png (file) |  |
5 KB | Tom | Category:kelvinberglyph <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(0,7,0.01) f=np.vectorize(lambda x: ber(0.5,x)) y=f(x... | 1 |
| 20:24, 9 July 2016 | Kelvinbei,n=0glyph.png (file) |  |
6 KB | Tom | Category:kelvinbeiglyph <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(-6,6,0.01) f=np.vectorize(lambda x: bei(0,x)) y=f(x)... | 1 |
| 20:27, 9 July 2016 | Kelvinbei,n=1glyph.png (file) |  |
6 KB | Tom | Category:kelvinbeiglyph <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(-7,7,0.01) f=np.vectorize(lambda x: bei(1,x)) y=f(x)... | 1 |
| 20:35, 9 July 2016 | Kelvinker,n=0plot.png (file) |  |
24 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(0,8,0.01); f=np.vectorize(lambda x: ker(0,x)) y=f(x) def g(x):... | 1 |
| 01:20, 8 August 2016 | Kelvinker,n=0glyph.png (file) |  |
3 KB | Tom | Category:kelvinkerglyph <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(0,8,0.01) f=np.vectorize(lambda x: ker(0,x)) y=f(x)... | 1 |
| 23:53, 15 September 2016 | Complexarcsinhplot.png (file) |  |
97 KB | Tom | Category:DomainColoring <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(asinh,[-2,2],[-2,2],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{arcsinh}(z)$.') plt.savefig('compl... | 1 |
| 00:14, 16 September 2016 | Complexarccoshplot.png (file) |  |
67 KB | Tom | Category:DomainColoring <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(acosh,[-5,5],[-5,5],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{arccosh}(z)$.') plt.savefig('compl... | 1 |
| 00:42, 16 September 2016 | Arctanhplot.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(-0.999,0.999,0.001); f=np.vectorize(atanh) y=f(x) def g(x):... | 2 |
| 01:14, 16 September 2016 | Complexarccothplot.png (file) |  |
96 KB | Tom | Category:DomainColoring <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(acoth,[-5,5],[-5,5],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{arccoth}(z)$.') plt.savefig('compl... | 1 |
| 01:43, 16 September 2016 | Complexarctanhplot.png (file) |  |
89 KB | Tom | Category:DomainColoring <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(atanh,[-2,2],[-2,2],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{arctanh}(z)$.') plt.savefig('compl... | 1 |
| 02:17, 16 September 2016 | Sincplot.png (file) |  |
41 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(-15,15,0.01); f=np.vectorize(lambda x: sinc(x)) y=f(x) fig, a... | 1 |
| 04:17, 16 September 2016 | Riemannzetaplot.png (file) |  |
32 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(-21,0.9999,0.001); x2=np.arange(1.0001,10,0.001); xvert=np.ar... | 1 |
| 05:17, 16 September 2016 | Lambertw0plot.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 x1=np.arange(-0.367,25,0.001); f=np.vectorize(lambertw) y1=f(x1) fig, ax... | 1 |
| 18:37, 25 September 2016 | Binomialcoefficient,n=20plot.png (file) |  |
18 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(-5,26,1); f=np.vectorize(lambda x: binomial(20,x)) y=f(x) g=np.... | 1 |
| 18:55, 25 September 2016 | Binomial,n=20glyph.png (file) |  |
2 KB | Tom | Category:binomialglyph <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(0,20,1) f=np.vectorize(lambda x: binomial(20,x)) y=f(... | 2 |
| 19:21, 25 September 2016 | Loghyperfactorialplot.png (file) |  |
15 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(0,10,1); f=np.vectorize(lambda x: log(hyperfac(x))) y=f(x) fi... | 1 |
| 04:11, 3 October 2016 | Cothplot.png (file) |  |
24 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(-5,-0.1,0.01); f=np.vectorize(lambda x: coth(x)) y1=f(x1) x2=... | 2 |
| 04:23, 3 October 2016 | Coversinplot.png (file) |  |
49 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(-10,10,0.001); f=np.vectorize(lambda x: 1-sin(x)) y=f(x) fig,... | 1 |
| 04:27, 3 October 2016 | Complexcoversinplot.png (file) |  |
112 KB | Tom | Category:DomainColoring <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: 1-sin(x),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{coversin}(x)$.')... | 1 |
| 04:13, 4 October 2016 | Versinplot.png (file) |  |
47 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(-10,10,0.001); f=np.vectorize(lambda x: 1-cos(x)) y=f(x) fig,... | 1 |
| 04:16, 4 October 2016 | Complexversinplot.png (file) |  |
112 KB | Tom | Category:DomainColoring <pre> #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * cplot(lambda x: 1-cos(x),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\mathrm{versin}(z)$.') pl... | 2 |
| 02:09, 28 November 2016 | Chebyshevplotfrom0to50.png (file) |  |
17 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 def isValid(n): if (n <=0): return 0 elif... | 1 |
| 02:11, 28 November 2016 | Chebyshevplotfrom0to100.png (file) |  |
20 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 def isValid(n): if (n <=0): return 0 elif... | 1 |
| 02:12, 28 November 2016 | Chebyshevplotfrom0to1000.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 def isValid(n): if (n <=0): return 0 elif... | 1 |
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