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| author | Stefan van der Walt <stefan@sun.ac.za> | 2008-05-19 21:42:16 +0000 |
|---|---|---|
| committer | Stefan van der Walt <stefan@sun.ac.za> | 2008-05-19 21:42:16 +0000 |
| commit | 399147b0b20e32bbb0af62db9bc1fe1100770063 (patch) | |
| tree | 34bf4723406a98cd2ce602e8a59e47e1965fee28 /numpy/lib/function_base.py | |
| parent | 7ee9981d88525a9b09df86643c15306e1e5f5e58 (diff) | |
| download | numpy-399147b0b20e32bbb0af62db9bc1fe1100770063.tar.gz | |
Fix math markup in docstrings.
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 7 |
1 files changed, 5 insertions, 2 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index ea1b867c8..d2bb47552 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -1226,7 +1226,9 @@ def bartlett(M): ----- The Bartlett window is defined as - .. math:: w(n) = \\frac{2}{M-1} (\\frac{M-1}{2} - |n - \\frac{M-1}{2}|) + .. math:: w(n) = \\frac{2}{M-1} \left( + \\frac{M-1}{2} - \\left|n - \\frac{M-1}{2}\\right| + \\right) Most references to the Bartlett window come from the signal processing literature, where it is used as one of many windowing @@ -1255,7 +1257,8 @@ def bartlett(M): 0.90909091, 0.90909091, 0.72727273, 0.54545455, 0.36363636, 0.18181818, 0. ]) - # Plot the window and the frequency response of it. + Plot the window and its frequency response: + >>> from numpy import clip, log10, array, bartlett >>> from scipy.fftpack import fft >>> from matplotlib import pyplot as plt |