upxo.statops.distr_01 module

class upxo.statops.distr_01.distribution(data_name=None, data=None, nbins=[None], be_estimator='auto')[source]

Bases: object

Univariate sample distribution: summary stats, histogram, and KDE hooks.

One instance holds a single data vector. On construction (or after updating data), call histogram and summary methods so S / H stay consistent. Used by VTGS seed sizing and morphology stats.

data_name: Optional label for plots/axes.

data: 1D sample array.

S

Summary statistics (min, mean, percentiles, …).

Type:: SUMMARY

H

Histogram values and bin edges.

Type:: HISTOGRAM

K

Kernel-density estimate placeholders (bw, kd).

Type:: KDE

Rules

-----

\* One data vector per instance.

\* After changing ``data``, re-run histogram / summary updates.

update_summary()[source]: Set or update te summary.

find_min()[source]: Find min.

find_mean()[source]: Find mean.

find_median(axis=None)[source]: Find median.

find_max()[source]: Find max.

find_total()[source]: Find total.

find_std_dev(axis=0)[source]: Find std dev.

find_skewness()[source]: Find skewness.

find_kurtosis()[source]: Find kurtosis.

find_variance(limits=None, inclusive=(True, True), axis=0)[source]: REF: https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.tvar.html#scipy.stats.tvar

find_percentiles(percentile_list=[0, 10, 50, 90, 100], throw_format='list', see=False)[source]: Find percentiles.

calc_histogram(be_estimator='auto')[source]

“be_estimator” options:

‘auto’
‘fd’ (Freedman Diaconis Estimator)
‘doane’
For more, refer: https://numpy.org/doc/stable/reference/generated/numpy.histogram_bin_edges.html

calc_rv_histogram()[source]: Return the rv histogram.

plot_histogram(be_estimator='auto')[source]: Visualise histogram using Matplotlib or PyVista.

class upxo.statops.distr_01.SUMMARY[source]

Bases: object

Scalar summary statistics for a distribution sample.

minimum = None

percentiles = None

maximum = None

total = None

mean = None

median = None

variance = None

skew = None

kurt = None

class upxo.statops.distr_01.KDE[source]

Bases: object

Kernel-density estimate store (bandwidth bw, estimate kd).

bw = None

kd = None

class upxo.statops.distr_01.HISTOGRAM[source]

Bases: object

Histogram store: values hv, bin edges be, optional data.

hv = None

be = None

data = None

nbins = None