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| author | Niklas Koep <niklas.koep@gmail.com> | 2013-10-15 12:57:43 +0200 |
|---|---|---|
| committer | Niklas Koep <niklas.koep@gmail.com> | 2013-10-15 12:57:43 +0200 |
| commit | 0390fe34ade1ce3ebf8b27873e2a160c6bc86da5 (patch) | |
| tree | 09dbe852f682fc20a7b5bbe27ff71e343e4b5e7d | |
| parent | 415c62c29a7d074b75c7fb0e05b21c36b5c8e077 (diff) | |
| download | numpy-0390fe34ade1ce3ebf8b27873e2a160c6bc86da5.tar.gz | |
Fix example plot of Laplace distribution
In the PDF used for the example plot of the Laplace distribution only the location parameter loc instead of the absolute difference between random variable and loc was divided by the scale parameter. For the example at hand this makes no difference as loc is 0 and lambda is 1. For different values, however, the plot makes no sense.
| -rw-r--r-- | numpy/random/mtrand/mtrand.pyx | 4 |
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) """ |