File:Besseli,n=1glyph.png

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Besseli,n=1glyph.png(186 × 192 pixels, file size: 5 KB, MIME type: image/png)
#!/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)
x2=np.arange(-25,25,0.1)

f=np.vectorize(lambda x: besseli(1,x))
y=f(x)

def g(x):
        return 0
h=np.vectorize(g)
y2=h(x2)

fig, ax = plt.subplots()

ax.spines['left'].set_position('center')
ax.spines['right'].set_color('none')
#ax.spines['bottom'].set_position('center')
ax.spines['top'].set_color('none')
ax.spines['left'].set_smart_bounds(True)
ax.spines['bottom'].set_smart_bounds(True)
ax.xaxis.set_ticks_position('none')
plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')
plt.tick_params(axis='y', which='both', left='off', right='off', labelleft='off')

plt.plot(x,y,linewidth=5,color='Black')
plt.plot(x2,y2,linewidth=1,color='Black')
plt.plot(y2,x2,linewidth=1,color='Black')

plt.ylim([-10,10])
plt.xlim([-4.15,4.15])

plt.savefig('besseli,n=1glyph.png',bbox_inches='tight',pad_inches=0.0)

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Date/TimeThumbnailDimensionsUserComment
current21:31, 10 June 2016Thumbnail for version as of 21:31, 10 June 2016186 × 192 (5 KB)Tom (talk | contribs)Category:Besseliglyph <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) x2=np.arange(-25,25,0.1) f=np.vectorize(la...
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