Difference between revisions of "File:Besselcliffordn=0plot.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 def besselclifford(n,z): return nsum(lambda k: z**k/(gamma(k+n+1)*...) |
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Latest revision as of 16:03, 29 April 2017
#!/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)*fac(k)),[0,inf]) x1=np.arange(-5,15,0.01); f=np.vectorize(lambda x: besselclifford(0,x)) y1=f(x1) fig, ax = plt.subplots() plt.xlabel(r'$x$') plt.ylabel(r'$\mathcal{C}_0(x)$') plt.plot(x1,y1,linewidth=2,color='Black') plt.savefig('besselcliffordn=0plot.png',bbox_inches='tight',pad_inches=0.15)
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current | 16:03, 29 April 2017 | 885 × 887 (30 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 def besselclifford(n,z): return nsum(lambda k: z**k/(gamma(k+n+1)*... |
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