diff options
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 17 |
1 files changed, 2 insertions, 15 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 1ead375de..b61a64b8e 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -1150,7 +1150,7 @@ def diff(a, n=1, axis=-1, prepend=np._NoValue, append=np._NoValue): """ Calculate the n-th discrete difference along the given axis. - The first difference is given by ``out[n] = a[n+1] - a[n]`` along + The first difference is given by ``out[i] = a[i+1] - a[i]`` along the given axis, higher differences are calculated by using `diff` recursively. @@ -2593,8 +2593,6 @@ def blackman(M): Examples -------- - >>> import matplotlib - >>> matplotlib.use('agg') >>> import matplotlib.pyplot as plt >>> np.blackman(12) array([-1.38777878e-17, 3.26064346e-02, 1.59903635e-01, # may vary @@ -2811,9 +2809,6 @@ def hanning(M): Plot the window and its frequency response: - >>> import matplotlib - >>> import matplotlib.pyplot - >>> matplotlib.pyplot.switch_backend('agg') >>> import matplotlib.pyplot as plt >>> from numpy.fft import fft, fftshift >>> window = np.hanning(51) @@ -2914,9 +2909,6 @@ def hamming(M): Plot the window and the frequency response: - >>> import matplotlib - >>> import matplotlib.pyplot - >>> matplotlib.pyplot.switch_backend('agg') >>> import matplotlib.pyplot as plt >>> from numpy.fft import fft, fftshift >>> window = np.hamming(51) @@ -3192,8 +3184,6 @@ def kaiser(M, beta): Examples -------- - >>> import matplotlib - >>> matplotlib.use('agg') >>> import matplotlib.pyplot as plt >>> np.kaiser(12, 14) array([7.72686684e-06, 3.46009194e-03, 4.65200189e-02, # may vary @@ -3288,7 +3278,6 @@ def sinc(x): Examples -------- - >>> import matplotlib >>> import matplotlib.pyplot as plt >>> x = np.linspace(-4, 4, 41) >>> np.sinc(x) @@ -3967,8 +3956,6 @@ def _quantile_ureduce_func(a, q, axis=None, out=None, overwrite_input=False, r = add(x1, x2) if np.any(n): - warnings.warn("Invalid value encountered in percentile", - RuntimeWarning, stacklevel=3) if zerod: if ap.ndim == 1: if out is not None: @@ -4241,7 +4228,7 @@ def delete(arr, obj, axis=None): arr : array_like Input array. obj : slice, int or array of ints - Indicate which sub-arrays to remove. + Indicate indices of sub-arrays to remove along the specified axis. axis : int, optional The axis along which to delete the subarray defined by `obj`. If `axis` is None, `obj` is applied to the flattened array. |