Frequency statistics

This module provides functions for frequency statistics.

Methods

================================== =========== Method Description ================================== =========== cumfreq_ 4 methods Cumulative frequency histogram percentileofscore_ 2 methods Percentile rank of a score relfreq_ 4 methods Relative frequency histogram binned_statistic_ 2 methods Compute binned statistic ================================== ===========

Description

.. _cumfreq:

.. function:: cumfreq(data, limits, weights[, numbins])

:param data: Vector<Float64>
:param limits: (Float64, Float64)
:param weights: Vector<Float64>
:param numbins: Int64, default to 10
:return: CumfreqRes

.. function:: cumfreq(data[, numbins])

:param data: Vector<Float64>
:param numbins: Int64, default to 10
:return: CumfreqRes

.. function:: cumfreq(data, limits[, numbins])

:param data: Vector<Float64>
:param limits: (Float64, Float64)
:param numbins: Int64, default to 10
:return: CumfreqRes

.. function:: cumfreq(data, weights[, numbins])

:param data: Vector<Float64>
:param weights: Vector<Float64>
:param numbins: Int64, default to 10
:return: CumfreqRes

Compute the cumulative frequency histogram. Returned result
contains:

* cumcount: Vector<Float64>
* lowerlimit: Float64
* binsize: Float64

.. _percentileofscore:

.. function:: percentileofscore(data, score[, kind])

:param data: Vector<Float64>
:param score: Float64
:param kind: String, one of "rank" (default), "weak", "strict" and "mean".
:return: Float64

.. function:: percentileofscore(data, score[, kind])

:param data: Vector<Float64>
:param score: Vector<Float64>
:param kind: String, one of "rank" (default), "weak", "strict" and "mean".
:return: Vector<Float64>

Compute the percentile rank of a score relative to one or a list of scores.

.. _relfreq:

.. function:: relfreq(data, limits, weights[, numbins])

:param data: Vector<Float64>
:param limits: (Float64, Float64)
:param weights: Vector<Float64>
:param numbins: Int64, default to 10
:return: RelfreqRes

.. function:: relfreq(data[, numbins])

:param data: Vector<Float64>
:param numbins: Int64, default to 10
:return: RelfreqRes

.. function:: relfreq(data, limits[, numbins])

:param data: Vector<Float64>
:param limits: (Float64, Float64)
:param numbins: Int64, default to 10
:return: RelfreqRes

.. function:: relfreq(data, weights[, numbins])

:param data: Vector<Float64>
:param weights: Vector<Float64>
:param numbins: Int64, default to 10
:return: RelfreqRes

Compute the relative frequency histogram. Returned result
contains:

* frequency: Vector<Float64>
* lowerlimit: Float64
* binsize: Float64

.. _binned_statistic:

.. function:: binned_statistic(data, values, range[, statistics_type, numbins])

:param data: Vector<Float64>
:param values: Vector<Float64>
:param range: (Float64, Float64)
:param statistics_type: String, one of "mean" (default), "std", "median", "count", "sum", "min" and "max"
:return: BinnedStatisticRes

.. function:: binned_statistic(data, values[, statistics_type, numbins])

:param data: Vector<Float64>
:param values: Vector<Float64>
:param statistics_type: String, one of "mean" (default), "std", "median", "count", "sum", "min" and "max"
:return: BinnedStatisticRes

Compute the binned statistic. The returned value contains:

* statistic: Vector<Float64>
* bin_edges: Vector<Float64>
* binnumber: Vector<Int64>