In [2]:
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
In [5]:
n = np.arange(1,1e5)
e = 6*n**(-2)
In [6]:
plt.plot(n,e,'-', lw=3)
Out[6]:
[<matplotlib.lines.Line2D at 0x110c33c88>]
In [7]:
plt.semilogy(n,e,'-', lw=3)
Out[7]:
[<matplotlib.lines.Line2D at 0x110e180b8>]
In [8]:
plt.loglog(n,e,'-', lw=3)
Out[8]:
[<matplotlib.lines.Line2D at 0x1114aefd0>]
In [31]:
n = np.arange(1,100)
e = 4.0**(-n)
In [32]:
plt.plot(n,e,'-', lw=3)
Out[32]:
[<matplotlib.lines.Line2D at 0x1132eeb00>]
In [33]:
plt.semilogy(n,e,'-', lw=3)
Out[33]:
[<matplotlib.lines.Line2D at 0x1121826d8>]
In [34]:
plt.loglog(n,e,'-', lw=3)
Out[34]:
[<matplotlib.lines.Line2D at 0x11387df60>]
In [ ]: