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authormattip <matti.picus@gmail.com>2018-04-11 14:22:00 +0300
committermattip <matti.picus@gmail.com>2018-04-11 14:22:00 +0300
commit0a8ba953cc3fb973f63e2948c1d2027d39b9f88c (patch)
treeb29bbe5e3665c45c553944aac47f3c56f145964f /doc/source/user
parentdb93ce93064239a429909a100082940b624c84e8 (diff)
downloadnumpy-0a8ba953cc3fb973f63e2948c1d2027d39b9f88c.tar.gz
update kwargs where needed
Diffstat (limited to 'doc/source/user')
-rw-r--r--doc/source/user/quickstart.rst4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/user/quickstart.rst b/doc/source/user/quickstart.rst
index 67f45a50f..7e1c381d2 100644
--- a/doc/source/user/quickstart.rst
+++ b/doc/source/user/quickstart.rst
@@ -1451,10 +1451,10 @@ that ``pylab.hist`` plots the histogram automatically, while
>>> mu, sigma = 2, 0.5
>>> v = np.random.normal(mu,sigma,10000)
>>> # Plot a normalized histogram with 50 bins
- >>> plt.hist(v, bins=50, normed=1) # matplotlib version (plot)
+ >>> plt.hist(v, bins=50, density=1) # matplotlib version (plot)
>>> plt.show()
>>> # Compute the histogram with numpy and then plot it
- >>> (n, bins) = np.histogram(v, bins=50, normed=True) # NumPy version (no plot)
+ >>> (n, bins) = np.histogram(v, bins=50, density=True) # NumPy version (no plot)
>>> plt.plot(.5*(bins[1:]+bins[:-1]), n)
>>> plt.show()