/dports/devel/py-xarray/xarray-0.20.1/xarray/tests/ |
H A D | test_ufuncs.py | 67 group_mean = ds_grouped.mean("x") 70 assert_identical(ds, np.maximum(ds_grouped, group_mean)) 71 assert_identical(ds, np.maximum(group_mean, ds_grouped)) 73 assert_identical(ds, np.maximum(arr_grouped, group_mean)) 74 assert_identical(ds, np.maximum(group_mean, arr_grouped)) 76 assert_identical(ds, np.maximum(ds_grouped, group_mean["a"])) 77 assert_identical(ds, np.maximum(group_mean["a"], ds_grouped)) 79 assert_identical(ds.a, np.maximum(arr_grouped, group_mean.a)) 80 assert_identical(ds.a, np.maximum(group_mean.a, arr_grouped))
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/dports/biology/py-orange3-single-cell/orange3-single-cell-0.8.2/orangecontrib/single_cell/preprocess/ |
H A D | scpreprocess.py | 144 group_mean = mean[group_indices] 146 variance[group_indices], group_mean, 147 out=np.zeros_like(group_mean), where=group_mean != 0
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/dports/math/py-matplotlib/matplotlib-3.4.3/tutorials/introductory/ |
H A D | lifecycle.py | 70 group_mean = np.mean(group_data) variable 236 ax.axvline(group_mean, ls='--', color='r')
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/dports/math/py-matplotlib2/matplotlib-2.2.4/tutorials/introductory/ |
H A D | lifecycle.py | 72 group_mean = np.mean(group_data) variable 235 ax.axvline(group_mean, ls='--', color='r')
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/dports/math/octave-forge-statistics/statistics-1.4.3/install-conditionally/tests/ |
H A D | anova.m | 56 group_mean = mean (y); variable 76 group_mean (i) = mean (v); 82 SSB = sum (group_count .* (group_mean - total_mean) .^ 2);
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/dports/science/code_saturne/code_saturne-7.1.0/src/base/ |
H A D | cs_numbering.c | 475 cs_lnum_t group_mean = 0; in _log_threading_info() local 477 group_mean = group_sum[i*2] / group_sum[i*2+1]; in _log_threading_info() 482 (unsigned)group_min[i], (unsigned)group_max[i], (unsigned)group_mean); in _log_threading_info()
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/examples/thirdparty/ |
H A D | try_interchange.py | 39 s2 = ts.time_series(dta.group_mean(dat).x,dates=ts.date_array(dat.x,freq="M"))
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/dports/science/afni/afni-AFNI_21.3.16/src/SUMA/ |
H A D | SUMA_SegFunc.h | 500 int group_mean (SEG_OPTS *Opt, THD_3dim_dataset *aset,
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H A D | SUMA_SegFunc.c | 2058 int group_mean (SEG_OPTS *Opt, THD_3dim_dataset *aset, in group_mean() function 4790 if (!group_mean(Opt, aset, mm, Opt->pweight ? pset:NULL, in SUMA_estimate_bias_field()
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/dports/devel/py-tables/tables-3.6.1/doc/source/release-notes/ |
H A D | RELEASE_NOTES_v2.2.x.rst | 165 group_mean = average([row['row_id'] for row in grouped_rows])
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H A D | RELEASE_NOTES_v2.2.x-pro.rst | 175 group_mean = average([row['row_id'] for row in grouped_rows])
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/dports/math/py-pandas/pandas-1.2.5/pandas/_libs/ |
H A D | groupby.pyx | 464 # group_add, group_prod, group_var, group_mean, group_ohlc
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/dports/math/octave/octave-6.4.0/etc/OLD-ChangeLogs/ |
H A D | scripts-ChangeLog | 13284 data, not mean of group_mean.
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