File:Eulerphiglyph.png
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Revision as of 03:42, 22 June 2016 by Tom (talk | contribs) (Category:eulerphiglyph <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(-1,1,0.01) f=np.vectorize(lambda x: qp(x)) y=f(x) x2...)
Eulerphiglyph.png (186 × 192 pixels, file size: 6 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(-1,1,0.01) f=np.vectorize(lambda x: qp(x)) y=f(x) x2=np.arange(-10,10,0.1) def g(x): return 0 h=np.vectorize(g) y2=h(x2) fig, ax = plt.subplots() #plt.ylim([-1.1,1.1]) #plt.xlim([-1.05,1.05]) #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.xlim(-1,1) plt.ylim(-0.03,1.3) plt.savefig('eulerphiglyph.png',bbox_inches='tight',pad_inches=0.0)
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 03:44, 22 June 2016 | 186 × 192 (6 KB) | Tom (talk | contribs) | Category:eulerphiglyph <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(-1,1,0.01) f=np.vectorize(lambda x: qp(x)) y=f(x) x2... | |
03:42, 22 June 2016 | 186 × 192 (6 KB) | Tom (talk | contribs) | Category:eulerphiglyph <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(-1,1,0.01) f=np.vectorize(lambda x: qp(x)) y=f(x) x2... |
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