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| author | Tyler Reddy <tyler.je.reddy@gmail.com> | 2019-01-02 11:12:00 -0800 |
|---|---|---|
| committer | Tyler Reddy <tyler.je.reddy@gmail.com> | 2019-01-02 11:12:00 -0800 |
| commit | a5078dcd66590d5e127b99b74e86f3d27cc75913 (patch) | |
| tree | f28925dde0c04b2f1925aaea088629b555b83d8e /numpy/fft/pocketfft.py | |
| parent | 49a798c27d08f244207829c57d9621c9514e8c82 (diff) | |
| download | numpy-a5078dcd66590d5e127b99b74e86f3d27cc75913.tar.gz | |
DOC, TST: clean up matplotlib imports
* as requested by review in gh-12634,
the vast majority of docstring matplotlib
imports can be simplified to a single line
Diffstat (limited to 'numpy/fft/pocketfft.py')
| -rw-r--r-- | numpy/fft/pocketfft.py | 2 |
1 files changed, 0 insertions, 2 deletions
diff --git a/numpy/fft/pocketfft.py b/numpy/fft/pocketfft.py index 2a41b12a3..45dc162f6 100644 --- a/numpy/fft/pocketfft.py +++ b/numpy/fft/pocketfft.py @@ -163,7 +163,6 @@ def fft(a, n=None, axis=-1, norm=None): in the real part and anti-symmetric in the imaginary part, as described in the `numpy.fft` documentation: - >>> import matplotlib >>> import matplotlib.pyplot as plt >>> t = np.arange(256) >>> sp = np.fft.fft(np.sin(t)) @@ -257,7 +256,6 @@ def ifft(a, n=None, axis=-1, norm=None): Create and plot a band-limited signal with random phases: - >>> import matplotlib >>> import matplotlib.pyplot as plt >>> t = np.arange(400) >>> n = np.zeros((400,), dtype=complex) |