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| Date | Name | Thumbnail | Size | Description | Versions |
|---|---|---|---|---|---|
| 19:43, 7 September 2020 | Clausensine0.5.png (file) |  |
55 KB | from mpmath import * import numpy as np import matplotlib.pyplot as plt mp.dps=25; mp.pretty = True cplot(lambda x: clsin(0.5,x),[-10,10],[-5,5],points=50000,verbose=True) plt.title(r'Domain coloring of $Cl_{0.5}(z)$.') plt.savefig('clausensine0.5.pn... | 1 |
| 18:55, 7 September 2020 | Clausencosine0.5plot.png (file) |  |
50 KB | from mpmath import * import numpy as np import matplotlib.pyplot as plt mp.dps=25; mp.pretty = True cplot(lambda x: clcos(0.5,x),[-10,10],[-10,10],points=50000,verbose=True) plt.title(r'Domain coloring of $\tilde{Cl}_{0.5}(z)$.') plt.savefig('clausen... | 1 |
| 20:00, 14 December 2017 | Signumglyph.png (file) |  |
1 KB | Category:signumglyph <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 x1=np.arange(-4,-0.05,0.01); x2=np.arange(0.05,4,0.01); def g1(x)... | 3 |
| 19:51, 14 December 2017 | Signumplot.png (file) |  |
16 KB | <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,-0.05,0.01); x2=np.arange(0.05,4,0.01); def g1(x): return -1 def g2(x):... | 1 |
| 00:27, 29 October 2017 | Dawsondplusglyph.png (file) |  |
5 KB | <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams import scipy.special rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-15,15,0.001) f=np.vectorize(lambda x: scipy.special.dawsn... | 1 |
| 00:20, 29 October 2017 | Dawsondplusplot.png (file) |  |
31 KB | Category:Plot <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams import scipy.special rcParams['figure.figsize'] = 10, 10 x=np.arange(-15,15,0.001); f=np.vectorize(lambda x: sc... | 1 |
| 21:59, 28 October 2017 | Struveh2glyph.png (file) |  |
5 KB | 1 | |
| 21:59, 28 October 2017 | Struveh0glyph.png (file) |  |
8 KB | 2 | |
| 00:06, 24 October 2017 | Struveh1glyph.png (file) |  |
8 KB | Category:Scorerhiglyph <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams import scipy.special rcParams['figure.figsize'] = 2.4,2.4 x1=np.arange(-10,10,0.001) f=np.vectorize(la... | 1 |
| 00:14, 22 October 2017 | Struveplots.png (file) |  |
64 KB | <pre>#!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams import scipy.special rcParams['figure.figsize'] = 10, 10 x=np.arange(-16,16,0.001); f=np.vectorize(lambda x: scipy.special.struve... | 1 |
| 00:05, 22 October 2017 | Struveh0plot.png (file) |  |
49 KB | #!/usr/bin/python import numpy as np import matplotlib.pyplot as plt from mpmath import * from pylab import rcParams import scipy.special rcParams['figure.figsize'] = 10, 10 x=np.arange(-30,30,0.001); f=np.vectorize(lambda x: scipy.special.struve(0,x)... | 1 |
| 16:18, 29 April 2017 | Besselcliffordglyph.png (file) |  |
4 KB | Category:besselcliffordglyph <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 besselclifford(n,z): return nsum(lambda k: z**k... | 1 |
| 16:03, 29 April 2017 | Besselcliffordn=0plot.png (file) |  |
30 KB | 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 besselclifford(n,z): return nsum(lambda k: z**k/(gamma(k+n+1)*... | 1 |
| 06:19, 10 January 2017 | Hypergeometric2f1,a=0.5,b=1,c=1.5,negativezsquared.png (file) |  |
5 KB | Category:hypergeometric2f1glyph <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 x1=np.arange(-6,-0.0001,0.001) f=np.vectorize(lambda x:... | 1 |
| 06:14, 10 January 2017 | Hypergeometric2f1,a=0.5,b=0.5,c=1.5,zsquared.png (file) |  |
4 KB | Category:hypergeometric2f1glyph <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 x1=np.arange(-1,-0.0001,0.001) f=np.vectorize(lambda x:... | 1 |
| 05:54, 10 January 2017 | Hypergeometric1f0glyph.png (file) |  |
4 KB | Category:hypergeometric1f0glyph <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 x1=np.arange(-3,3,0.001) f=np.vectorize(lambda x: (1-x)*... | 1 |
| 05:43, 10 January 2017 | Exponentialglyph.png (file) |  |
4 KB | Category:exponentialglyph <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 x1=np.arange(-3,3,0.001) f=np.vectorize(lambda x: e**x) y1=f(x... | 1 |
| 05:32, 10 January 2017 | Jacobitheta4,q=0.5glyph.png (file) |  |
7 KB | Category:jacobitheta4glyph <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 x1=np.arange(-10,10,0.001) f=np.vectorize(lambda x: jtheta(4,... | 1 |
| 05:30, 10 January 2017 | Jacobitheta3,q=0.5glyph.png (file) |  |
7 KB | Category:Jacobitheta3glyph <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 x1=np.arange(-10,10,0.001) f=np.vectorize(lambda x: jtheta(3,... | 1 |
| 05:27, 10 January 2017 | Jacobitheta2,q=0.5glyph.png (file) |  |
7 KB | Category:Jacobitheta2 <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 x1=np.arange(-10,10,0.001) f=np.vectorize(lambda x: jtheta(2,x,0.5... | 1 |
| 05:24, 10 January 2017 | Jacobitheta1,q=0.5glyph.png (file) |  |
7 KB | Category:Jacobitheta1glyph <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 x1=np.arange(-10,10,0.001) f=np.vectorize(lambda x: jtheta(1,... | 1 |
| 02:29, 5 January 2017 | Covercosineglyph.png (file) |  |
7 KB | Category:covercosineglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: 1+sin(x))... | 1 |
| 02:27, 5 January 2017 | Excosecantglyph.png (file) |  |
5 KB | Category:excosecantglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: csc(x)-1) y... | 2 |
| 01:56, 5 January 2017 | Exsecantglyph.png (file) |  |
5 KB | Category:exsecantglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: sec(x)-1) y1=... | 1 |
| 01:51, 5 January 2017 | Coversinglyph.png (file) |  |
7 KB | Category:coversineglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: 1-sin(x)) y1... | 1 |
| 01:49, 5 January 2017 | Versineglyph.png (file) |  |
7 KB | Category:versineglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: 1-cos(x)) y1=f... | 2 |
| 01:37, 5 January 2017 | Tanhcglyph.png (file) |  |
5 KB | Category:tanhcglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: tanh(x)/x) y1=f(... | 1 |
| 01:34, 5 January 2017 | Tancglyph.png (file) |  |
5 KB | Category:tancglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: tan(x)/x) y1=f(x1... | 1 |
| 01:24, 5 January 2017 | Sinhcglyph.png (file) |  |
4 KB | Category:sinhcglyph <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 x1=np.arange(-2,2,0.0001) f=np.vectorize(lambda x: sinh(x)/x) y1=f(x... | 1 |
| 01:14, 5 January 2017 | Sincglyph.png (file) |  |
7 KB | Category:sincglyph <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 x1=np.arange(-20,20,0.001) f=np.vectorize(lambda x: sin(x)/x) y1=f(x1... | 1 |
| 01:10, 5 January 2017 | Jincglyph.png (file) |  |
6 KB | <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 x1=np.arange(-20,20,0.01) f=np.vectorize(lambda x: besselj(1,x)/x) y1=f(x1) xvert=np.arange... | 1 |
| 01:05, 5 January 2017 | Coshcglyph.png (file) |  |
4 KB | <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 x1=np.arange(0.001,4,0.01) x2=np.arange(-4,-0.001,0.01) f=np.vectorize(lambda x: cosh(x)/x)... | 1 |
| 23:20, 25 December 2016 | Kelvinkei,n=0glyph.png (file) |  |
4 KB | <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: kei(0,x)) y=f(x) x2=np.arange(-30,30,0.1) de... | 1 |
| 23:00, 25 December 2016 | Identityplot.png (file) |  |
30 KB | 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(-5,5,0.01); f=np.vectorize(lambda x: x) y1=f(x1) fig, ax = pl... | 2 |
| 00:54, 12 December 2016 | Jincplot.png (file) |  |
37 KB | 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(-25,25,0.0001); f=np.vectorize(lambda x: besselj(1,x)/x) y=f(x... | 2 |
| 23:40, 8 December 2016 | Tan(arcsec(z)).png (file) | ).png) |
7 KB | <pre>\documentclass[10pt,a4paper]{article} \usepackage[latin1]{inputenc} \usepackage{amsmath} \usepackage{tikz} \usepackage{amsfonts} \usepackage{amssymb} \begin{document} \begin{tikzpicture}[very thick] \draw (0,0) -- (0:3.5cm) node[midway,below] {$... | 1 |
| 02:12, 28 November 2016 | Chebyshevplotfrom0to1000.png (file) |  |
29 KB | 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 | 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 |
| 02:09, 28 November 2016 | Chebyshevplotfrom0to50.png (file) |  |
17 KB | 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 |
| 04:16, 4 October 2016 | Complexversinplot.png (file) |  |
112 KB | 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 |
| 04:13, 4 October 2016 | Versinplot.png (file) |  |
47 KB | 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 |
| 04:27, 3 October 2016 | Complexcoversinplot.png (file) |  |
112 KB | 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 |
| 04:23, 3 October 2016 | Coversinplot.png (file) |  |
49 KB | 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 |
| 04:11, 3 October 2016 | Cothplot.png (file) |  |
24 KB | 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 |
| 19:21, 25 September 2016 | Loghyperfactorialplot.png (file) |  |
15 KB | 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 |
| 18:55, 25 September 2016 | Binomial,n=20glyph.png (file) |  |
2 KB | 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 |
| 18:37, 25 September 2016 | Binomialcoefficient,n=20plot.png (file) |  |
18 KB | 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 |
| 05:17, 16 September 2016 | Lambertw0plot.png (file) |  |
28 KB | 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 |
| 04:17, 16 September 2016 | Riemannzetaplot.png (file) |  |
32 KB | 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 |
| 02:17, 16 September 2016 | Sincplot.png (file) |  |
41 KB | 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 |
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