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Date | Name | Thumbnail | Size | User | Description | Versions |
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20:00, 14 December 2017 | Signumglyph.png (file) | 1 KB | Tom | 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 | |
05:05, 4 September 2015 | Chebthetathumb.png (file) | 2 KB | Tom | ChebTheta[x_] := Sum[Log[Prime[k]], {k, 1, PrimePi[x]}] Export["chebthetathumb.png", Plot[ChebTheta[x], {x, 0, 20}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None]] | 1 | |
04:06, 4 September 2015 | Chebyshevpsithumb.png (file) | 2 KB | Tom | 1 | ||
00:49, 22 June 2016 | Mobiusglyph.png (file) | 2 KB | Tom | Category:mobiusglyph <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 numberOfFactors(n): counter = 0 while (n > 1):... | 2 | |
21:53, 16 August 2015 | Gpfthumb.png (file) | 2 KB | Tom | 1 | ||
08:18, 16 June 2016 | Ceilingglyph.png (file) | 2 KB | Tom | Category:Ceilingglyph <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(-3,3,0.01) f=np.vectorize(ceil) y=f(x) fig, ax = plt.... | 2 | |
08:21, 16 June 2016 | Floorglyph.png (file) | 2 KB | Tom | Category:floorglyph <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(-4,4,0.01) f=np.vectorize(floor) y=f(x) fig, ax = plt.s... | 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 | |
08:25, 16 June 2016 | Identityglyph.png (file) | 3 KB | Tom | Category:identityglyph <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(-3,3,0.01) def g(x): return x f=np.vectorize... | 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 | |
07:20, 19 January 2015 | Factorialthumb.png (file) | 3 KB | Tom | DiscretePlot[k!, {k, 0, 4}, PlotStyle -> {PointSize[0.04], Black}, FillingStyle -> None, AxesStyle -> Thickness[0.01], AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
05:10, 22 June 2016 | Primecountingglyph.png (file) | 3 KB | Tom | Category:primecountingglyph <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(0,500,1) f=np.vectorize(primepi) y=f(x) x2=np.a... | 1 | |
22:12, 10 June 2016 | Besselk,n=0glyph.png (file) | 3 KB | Tom | Category:Besselkglyph <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(0.1,4,0.01) x2=np.arange(-25,25,0.1) f=np.vectorize(l... | 2 | |
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 | |
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 | |
12:09, 19 January 2015 | Liouvillelambdathumb.png (file) | 4 KB | Tom | DiscretePlot[LiouvilleLambda[k], {k, 100}, PlotStyle -> {PointSize[0.02], Black}, FillingStyle -> None, AxesStyle -> Thickness[0.01], AxesStyle -> Thickness[0.01], Ticks -> None] | 2 | |
11:59, 19 January 2015 | Primepithumb.png (file) | 4 KB | Tom | Plot[PrimePi[x], {x, 0, 100}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
04:00, 21 August 2015 | Inverseerfthumb.png (file) | 4 KB | Tom | Plot[InverseErf[x], {x, -1.2, 1.2}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
03:20, 26 February 2016 | Arcsecantglyph.png (file) | 4 KB | Tom | Category:Arcsecantglyph <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(1,10,0.00001) x2=np.arange(-10,-1,0.00001) #x=np.co... | 1 | |
02:13, 10 August 2015 | Identitythumb.png (file) | 4 KB | Tom | Plot[x, {x, -10, 10}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
18:45, 15 May 2016 | Arccothglyph.png (file) | 4 KB | Tom | Category:Arccothglyph <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(-4.5,-1.001,0.0001) x2=np.arange(1.001,4.5,0.0001) f=... | 1 | |
06:14, 10 January 2017 | Hypergeometric2f1,a=0.5,b=0.5,c=1.5,zsquared.png (file) | 4 KB | Tom | 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 | |
11:13, 19 January 2015 | Riemannzetathumb.png (file) | 4 KB | Tom | Plot[Zeta[x], {x, -24, 12}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
23:20, 25 December 2016 | Kelvinkei,n=0glyph.png (file) | 4 KB | Tom | <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 | |
01:25, 15 May 2016 | Cothglyph.png (file) | 4 KB | Tom | Category:Cothglyph <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(-3,3,0.000013) f=np.vectorize(coth) y=f(x) fig, ax = plt... | 1 | |
03:08, 26 February 2016 | Arccosecantglyph.png (file) | 4 KB | Tom | Category:Arccosecantglyph <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(1,10,0.001) x2=np.arange(-10,-1,0.001) f=np.vecto... | 1 | |
17:42, 23 May 2016 | Erfglyph.png (file) | 4 KB | Tom | Category:Errorglyph <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(-4,4,0.1) f=np.vectorize(erf) y=f(x) fig, ax = plt.subp... | 1 | |
03:52, 21 August 2015 | Erfithumb.png (file) | 4 KB | Tom | Plot[Erfi[x], {x, -3, 3}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
03:27, 21 August 2015 | Kelvinkerthumb.png (file) | 4 KB | Tom | Plot[KelvinKer[0, x], {x, 0, 5}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
12:24, 19 January 2015 | Incompletegammathumb.png (file) | 4 KB | Tom | Plot[Gamma[10, x], {x, 0, 25}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
05:43, 10 January 2017 | Exponentialglyph.png (file) | 4 KB | Tom | 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 | |
20:13, 19 May 2015 | Modifiedbesselksub1thumb.png (file) | 4 KB | Tom | Plot[BesselK[1, x], {x, 0, 3}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
16:18, 29 April 2017 | Besselcliffordglyph.png (file) | 4 KB | Tom | 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 | |
20:27, 14 May 2016 | Sinhglyph.png (file) | 4 KB | Tom | <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(-3,3,0.00001) f=np.vectorize(sinh) y=f(x) fig, ax = plt.subplots() #plt.ylim([... | 1 | |
02:35, 26 February 2016 | Arctangentglyph.png (file) | 4 KB | Tom | Category:Arctangentglyph <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(-10,10,0.00001) f=np.vectorize(atan) y=f(x) fig, a... | 1 | |
03:27, 21 August 2015 | Kelvinkeithumb.png (file) | 4 KB | Tom | Plot[KelvinKer[0, x], {x, 0, 5}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
18:43, 15 May 2016 | Arccoshglyph.png (file) | 4 KB | Tom | Category:Arccoshglyph <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(1,4,0.001) f=np.vectorize(acosh) y=f(x) fig, ax = plt... | 1 | |
02:31, 10 August 2015 | Dilogarithmthumb.png (file) | 4 KB | Tom | foo[z_] := PolyLog[2, z] Plot[foo[x], {x, -10, 10}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
05:54, 10 January 2017 | Hypergeometric1f0glyph.png (file) | 4 KB | Tom | 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 | |
11:50, 19 January 2015 | Möbiusthumb.png (file) | 4 KB | Tom | DiscretePlot[MoebiusMu[k], {k, 0, 70}, PlotStyle -> {PointSize[0.03], Black}, FillingStyle -> None, AxesStyle -> Thickness[0.01], AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
18:45, 15 May 2016 | Arcsechglyph.png (file) | 4 KB | Tom | Category:Arcsechglyph <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(0.001,0.99,0.001) f=np.vectorize(asech) y=f(x) fig, a... | 1 | |
01:24, 5 January 2017 | Sinhcglyph.png (file) | 4 KB | Tom | 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 | |
03:25, 21 August 2015 | Kelvinberthumb.png (file) | 4 KB | Tom | Plot[KelvinBer[0, x], {x, -12, 3}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 | |
01:05, 5 January 2017 | Coshcglyph.png (file) | 4 KB | Tom | <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 | |
18:43, 15 May 2016 | Arctanhglyph.png (file) | 4 KB | Tom | Category:Arctanhglyph <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(-0.99,0.99,0.001) f=np.vectorize(atanh) y=f(x) fig, a... | 1 | |
20:36, 14 May 2016 | Tanhglyph.png (file) | 4 KB | Tom | Category:Tanhglyph <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(-3,3,0.00001) f=np.vectorize(tanh) y=f(x) fig, ax = plt.... | 1 | |
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 | |
20:37, 14 May 2016 | Cschglyph.png (file) | 4 KB | Tom | Category:Cschglyph <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(-3,3,0.000013) f=np.vectorize(csch) y=f(x) fig, ax = plt... | 1 | |
03:28, 26 February 2016 | Arccotangentglyph.png (file) | 4 KB | Tom | Category:Arccotangentglyph <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,-0.000001,0.00001) x2=np.arange(0.000001,10,... | 1 | |
22:17, 25 August 2015 | Gudermannianthumb.png (file) | 4 KB | Tom | Plot[Gudermannian[x], {x, -5, 5}, PlotStyle -> {Thickness[0.04], Black}, AxesStyle -> Thickness[0.01], Ticks -> None] | 1 |
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