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author | alex <argriffi@ncsu.edu> | 2015-04-29 12:54:03 -0400 |
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committer | alex <argriffi@ncsu.edu> | 2015-04-29 12:54:03 -0400 |
commit | 8206e8df495e0bd050e57cd74f6177058a61dc2b (patch) | |
tree | 97c48401130b28c0c531248ac63c19cc0e770d0e | |
parent | b282d2abf8850f4e47eec73e44d250ac0b091284 (diff) | |
download | numpy-8206e8df495e0bd050e57cd74f6177058a61dc2b.tar.gz |
DOC: improve the vonmises docstring example
-rw-r--r-- | numpy/random/mtrand/mtrand.pyx | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/random/mtrand/mtrand.pyx b/numpy/random/mtrand/mtrand.pyx index 69fc0414b..5c949d07b 100644 --- a/numpy/random/mtrand/mtrand.pyx +++ b/numpy/random/mtrand/mtrand.pyx @@ -2524,11 +2524,11 @@ cdef class RandomState: the probability density function: >>> import matplotlib.pyplot as plt - >>> import scipy.special as sps - >>> count, bins, ignored = plt.hist(s, 50, normed=True) - >>> x = np.arange(-np.pi, np.pi, 2*np.pi/50.) - >>> y = -np.exp(kappa*np.cos(x-mu))/(2*np.pi*sps.jn(0,kappa)) - >>> plt.plot(x, y/max(y), linewidth=2, color='r') + >>> from scipy.special import i0 + >>> plt.hist(s, 50, normed=True) + >>> x = np.linspace(-np.pi, np.pi, num=51) + >>> y = np.exp(kappa*np.cos(x-mu))/(2*np.pi*i0(kappa)) + >>> plt.plot(x, y, linewidth=2, color='r') >>> plt.show() """ |