Difference between revisions of "File:Multiplebesselkplot.png"
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(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(0.01,5,0.01); x2=np.arange(-15,15,0.1); j0=np.vectorize(lambda...) |
(Tom uploaded a new version of "File:Multiplebesselkplot.png") |
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Latest revision as of 23:43, 10 June 2016
#!/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(0.01,5,0.01); x2=np.arange(-15,15,0.1); j0=np.vectorize(lambda x: besselk(0,x)) j1=np.vectorize(lambda x: besselk(1,x)) j2=np.vectorize(lambda x: besselk(2,x)) j3=np.vectorize(lambda x: besselk(3,x)) y0=j0(x) y1=j1(x) y2=j2(x) y3=j3(x) def h(x): return 0 k=np.vectorize(h) yatzero=k(x2) fig, ax = plt.subplots() plt.xlabel(r'$x$') plt.ylabel('Various Bessel functions') plt.plot(x,y0,linewidth=2,color='Red',label=r'$K_0(x)$') plt.plot(x,y1,linewidth=2,color='Blue',label=r'$K_1(x)$') plt.plot(x,y2,linewidth=2,color='Green',label=r'$K_2(x)$') plt.plot(x,y3,linewidth=2,color='Orange',label=r'$K_3(x)$') plt.plot(yatzero,x2,'--',linewidth=2,color='Black') plt.xlim(-0.3,5) plt.ylim(-0.3,2) plt.legend(loc='best') plt.savefig('multiplebesselkplot.png',bbox_inches='tight',pad_inches=0.15)
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 23:43, 10 June 2016 | 862 × 885 (62 KB) | Tom (talk | contribs) | 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(0.01,5,0.01); x2=np.arange(-15,15,0.1); j0=np.vectorize(lambda... | |
23:40, 10 June 2016 | 862 × 885 (61 KB) | Tom (talk | contribs) | 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(0.01,5,0.01); x2=np.arange(-15,15,0.1); j0=np.vectorize(lambda... |
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