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/dports/math/py-numpy/numpy-1.20.3/numpy/lib/tests/
H A Dtest_nanfunctions.py760 np.nanpercentile(ndat, 30)
768 res = np.nanpercentile(mat, 70, axis=axis, out=None,
797 res = np.nanpercentile(nan_mat, 42, axis=1, out=resout)
812 res = np.nanpercentile(_ndat, 28, axis=1)
816 res = np.nanpercentile(_ndat, (28, 98), axis=1)
831 assert_(np.isnan(np.nanpercentile(np.nan, 60)))
853 assert_equal(np.nanpercentile(0., 100), 0.)
855 r = np.nanpercentile(a, 50, axis=0)
903 np.nanpercentile(ar, q=50, axis=0))
905 np.nanpercentile(ar, q=50, axis=1))
[all …]
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/numpy/
H A Dfallback.py153 nanpercentile = onp.nanpercentile variable
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/numpy/
H A Dfallback.py153 nanpercentile = onp.nanpercentile variable
/dports/math/py-numpy/numpy-1.20.3/doc/source/reference/
H A Droutines.statistics.rst19 nanpercentile
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/distributions/copula/
H A Dcopulas.py446 min_ = np.nanpercentile(data, 5)
447 max_ = np.nanpercentile(data, 95)
/dports/math/py-numpy/numpy-1.20.3/benchmarks/benchmarks/
H A Dbench_lib.py115 np.nanpercentile(self.arr, q=50)
/dports/math/py-optuna/optuna-2.10.0/optuna/pruners/
H A D_percentile.py48 np.nanpercentile(
/dports/math/py-arviz/arviz-0.11.4/arviz/plots/backends/matplotlib/
H A Dviolinplot.py79 per = np.nanpercentile(val, [25, 75, 50])
/dports/math/py-arviz/arviz-0.11.4/arviz/plots/backends/bokeh/
H A Dviolinplot.py75 per = np.nanpercentile(val, [25, 75, 50])
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/stats/
H A Ddescriptivestats.py69 def nanpercentile(arr, axis=0): function
70 return np.nanpercentile(arr, PERCENTILES, axis=axis)
92 "percentiles": nanpercentile,
/dports/devel/py-fbprophet/fbprophet-0.5/fbprophet/
H A Dforecaster.py1304 data[component + '_lower'] = np.nanpercentile(
1307 data[component + '_upper'] = np.nanpercentile(
1385 series['{}_lower'.format(key)] = np.nanpercentile(
1387 series['{}_upper'.format(key)] = np.nanpercentile(
/dports/math/py-numpy/numpy-1.20.3/numpy/lib/
H A D__init__.pyi177 nanpercentile: Any
H A Dnanfunctions.py1127 def nanpercentile(a, q, axis=None, out=None, overwrite_input=False, function
/dports/math/py-jax/jax-0.2.9/jax/numpy/
H A D__init__.py50 nanmedian, nanpercentile, nanquantile,
/dports/devel/py-xarray/xarray-0.20.1/xarray/plot/
H A Dutils.py696 vmax = np.nanpercentile(darray, 100 - ROBUST_PERCENTILE)
698 vmin = np.nanpercentile(darray, ROBUST_PERCENTILE)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/preprocessing/
H A D_data.py1522 quantiles.append(np.nanpercentile(column_data, self.quantile_range))
2493 self.quantiles_.append(np.nanpercentile(col, references))
2538 self.quantiles_.append(np.nanpercentile(column_data, references))
/dports/math/py-seaborn/seaborn-0.11.0/seaborn/
H A Dmatrix.py202 vmin = np.nanpercentile(calc_data, 2)
207 vmax = np.nanpercentile(calc_data, 98)
/dports/science/py-nilearn/nilearn-0.8.1/nilearn/
H A Dsignal.py399 var_thr = np.nanpercentile(var, 100. - percentile)
/dports/math/py-pandas/pandas-1.2.5/pandas/core/
H A Dnanops.py1618 def nanpercentile( function
1649 result = nanpercentile(
/dports/math/py-numpy/numpy-1.20.3/doc/source/release/
H A D1.9.0-notes.rst13 * Addition of `nanmedian` and `nanpercentile` rounds out the nanfunction set.
308 The ``np.nanmedian`` and ``np.nanpercentile`` functions behave like
H A D1.15.0-notes.rst41 * `numpy.nanquantile` function, an interface to ``nanpercentile`` without
260 Like ``np.percentile`` and ``np.nanpercentile``, but takes quantiles in [0, 1]
/dports/astro/py-astropy/astropy-5.0/astropy/units/tests/
H A Dtest_quantity_non_ufuncs.py977 self.check(np.nanpercentile, 0.5)
978 o = np.nanpercentile(self.q, 0.5 * u.one)
979 expected = np.nanpercentile(self.q.value, 50) * u.m
/dports/math/py-pandas/pandas-1.2.5/pandas/core/internals/
H A Dblocks.py83 from pandas.core.nanops import nanpercentile
1601 result = nanpercentile(
/dports/devel/py-numba/numba-0.51.2/numba/tests/
H A Dtest_array_reductions.py126 return np.nanpercentile(arr, q)
/dports/astro/py-astropy/astropy-5.0/astropy/units/quantity_helper/
H A Dfunction_helpers.py526 @function_helper(helps={np.percentile, np.nanpercentile})

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