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author | Stephan Hoyer <shoyer@gmail.com> | 2019-05-20 09:37:18 -0700 |
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committer | GitHub <noreply@github.com> | 2019-05-20 09:37:18 -0700 |
commit | f9c1502e7ace9b48f0256a77c560aae43763a1f2 (patch) | |
tree | 1b04f2a79f979f6039a794173560da7153093ac9 /numpy/lib/histograms.py | |
parent | bdd75dff0aa8b77be5784923befb6410fc2f4837 (diff) | |
download | numpy-f9c1502e7ace9b48f0256a77c560aae43763a1f2.tar.gz |
BUG: Increment stacklevel for warnings to account for NEP-18 overrides (#13589)
* Increment stacklevel for warnings to account for NEP-18 overrides
For NumPy functions that make use of `__array_function__`, the appropriate the
stack level for warnings should generally be increased by 1 to account for
the override function defined in numpy.core.overrides.
Fixes GH-13329
* Update numpy/lib/type_check.py
Co-Authored-By: Sebastian Berg <sebastian@sipsolutions.net>
Diffstat (limited to 'numpy/lib/histograms.py')
-rw-r--r-- | numpy/lib/histograms.py | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/numpy/lib/histograms.py b/numpy/lib/histograms.py index ee9a3053c..5bcedc7f4 100644 --- a/numpy/lib/histograms.py +++ b/numpy/lib/histograms.py @@ -148,7 +148,8 @@ def _hist_bin_stone(x, range): nbins_upper_bound = max(100, int(np.sqrt(n))) nbins = min(_range(1, nbins_upper_bound + 1), key=jhat) if nbins == nbins_upper_bound: - warnings.warn("The number of bins estimated may be suboptimal.", RuntimeWarning, stacklevel=2) + warnings.warn("The number of bins estimated may be suboptimal.", + RuntimeWarning, stacklevel=3) return ptp_x / nbins @@ -279,7 +280,7 @@ def _ravel_and_check_weights(a, weights): if a.dtype == np.bool_: warnings.warn("Converting input from {} to {} for compatibility." .format(a.dtype, np.uint8), - RuntimeWarning, stacklevel=2) + RuntimeWarning, stacklevel=3) a = a.astype(np.uint8) if weights is not None: @@ -888,7 +889,7 @@ def histogram(a, bins=10, range=None, normed=None, weights=None, warnings.warn( "The normed argument is ignored when density is provided. " "In future passing both will result in an error.", - DeprecationWarning, stacklevel=2) + DeprecationWarning, stacklevel=3) normed = None if density: @@ -904,7 +905,7 @@ def histogram(a, bins=10, range=None, normed=None, weights=None, "density=True will produce the same result anyway. " "The argument will be removed in a future version of " "numpy.", - np.VisibleDeprecationWarning, stacklevel=2) + np.VisibleDeprecationWarning, stacklevel=3) # this normalization is incorrect, but db = np.array(np.diff(bin_edges), float) @@ -915,7 +916,7 @@ def histogram(a, bins=10, range=None, normed=None, weights=None, warnings.warn( "Passing normed=False is deprecated, and has no effect. " "Consider passing the density argument instead.", - DeprecationWarning, stacklevel=2) + DeprecationWarning, stacklevel=3) return n, bin_edges |