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author | Charles Harris <charlesr.harris@gmail.com> | 2013-08-18 11:16:06 -0600 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2013-08-18 11:20:45 -0600 |
commit | 8ddb0ce0acafe75d78df528b4d2540dfbf4b364d (patch) | |
tree | 156b23f48f14c7c1df699874007c521b5482d1a4 /numpy/fft/helper.py | |
parent | 13b0b272f764c14bc4ac34f5b19fd030d9c611a4 (diff) | |
download | python-numpy-8ddb0ce0acafe75d78df528b4d2540dfbf4b364d.tar.gz python-numpy-8ddb0ce0acafe75d78df528b4d2540dfbf4b364d.tar.bz2 python-numpy-8ddb0ce0acafe75d78df528b4d2540dfbf4b364d.zip |
STY: Giant whitespace cleanup.
Now is as good a time as any with open PR's at a low.
Diffstat (limited to 'numpy/fft/helper.py')
-rw-r--r-- | numpy/fft/helper.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/numpy/fft/helper.py b/numpy/fft/helper.py index 0a475153f..058f6864d 100644 --- a/numpy/fft/helper.py +++ b/numpy/fft/helper.py @@ -125,8 +125,8 @@ def fftfreq(n, d=1.0): """ Return the Discrete Fourier Transform sample frequencies. - The returned float array `f` contains the frequency bin centers in cycles - per unit of the sample spacing (with zero at the start). For instance, if + The returned float array `f` contains the frequency bin centers in cycles + per unit of the sample spacing (with zero at the start). For instance, if the sample spacing is in seconds, then the frequency unit is cycles/second. Given a window length `n` and a sample spacing `d`:: @@ -140,7 +140,7 @@ def fftfreq(n, d=1.0): Window length. d : scalar, optional Sample spacing (inverse of the sampling rate). Defaults to 1. - + Returns ------- f : ndarray @@ -172,11 +172,11 @@ def fftfreq(n, d=1.0): def rfftfreq(n, d=1.0): """ - Return the Discrete Fourier Transform sample frequencies + Return the Discrete Fourier Transform sample frequencies (for usage with rfft, irfft). - The returned float array `f` contains the frequency bin centers in cycles - per unit of the sample spacing (with zero at the start). For instance, if + The returned float array `f` contains the frequency bin centers in cycles + per unit of the sample spacing (with zero at the start). For instance, if the sample spacing is in seconds, then the frequency unit is cycles/second. Given a window length `n` and a sample spacing `d`:: |