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authorCharles Harris <charlesr.harris@gmail.com>2013-10-15 05:07:54 -0700
committerCharles Harris <charlesr.harris@gmail.com>2013-10-15 05:07:54 -0700
commit61c8568e8ae2fe0afbb7a96b72902573ac4e22e7 (patch)
tree09dbe852f682fc20a7b5bbe27ff71e343e4b5e7d
parent415c62c29a7d074b75c7fb0e05b21c36b5c8e077 (diff)
parent0390fe34ade1ce3ebf8b27873e2a160c6bc86da5 (diff)
downloadnumpy-61c8568e8ae2fe0afbb7a96b72902573ac4e22e7.tar.gz
Merge pull request #3919 from nkoep/master
Fix example plot of Laplace distribution
-rw-r--r--numpy/random/mtrand/mtrand.pyx4
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/random/mtrand/mtrand.pyx b/numpy/random/mtrand/mtrand.pyx
index c55d178e6..84b52079d 100644
--- a/numpy/random/mtrand/mtrand.pyx
+++ b/numpy/random/mtrand/mtrand.pyx
@@ -2792,13 +2792,13 @@ cdef class RandomState:
>>> import matplotlib.pyplot as plt
>>> count, bins, ignored = plt.hist(s, 30, normed=True)
>>> x = np.arange(-8., 8., .01)
- >>> pdf = np.exp(-abs(x-loc/scale))/(2.*scale)
+ >>> pdf = np.exp(-abs(x-loc)/scale)/(2.*scale)
>>> plt.plot(x, pdf)
Plot Gaussian for comparison:
>>> g = (1/(scale * np.sqrt(2 * np.pi)) *
- ... np.exp( - (x - loc)**2 / (2 * scale**2) ))
+ ... np.exp(-(x - loc)**2 / (2 * scale**2)))
>>> plt.plot(x,g)
"""