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Container class to store summary metrics describing an array of
numerical values.
API example:
------------
values = [x/1000 for x in range(1, 1001)]
stat_summary = StatisticalSummary(
'test',
numpy.array(values)
)
print stat_summary.mean
>> 0.50
print stat_summary.std
>> 0.288
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count Number of items in the original value array. |
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mean Mean of the original value array. |
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std Standard deviation of the original value array. |
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median Second quartile of the original value array. |
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min Minimum value of the original value array. |
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min_index Index of the minimum value of the original value array. |
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max Maximum value of the original value array. |
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max_index Index of the maximum value of the original value array. |
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first_quartile First quartile of the original value array. |
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third_quartile Third quartile of the original value array. |
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histogram Numpy histogram of the original value array. |
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bin_edges Numpy histogram bin edges of the original value array. |
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identifier
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countNumber of items in the original value array.
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meanMean of the original value array.
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stdStandard deviation of the original value array.
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medianSecond quartile of the original value array.
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minMinimum value of the original value array.
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min_indexIndex of the minimum value of the original value array.
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maxMaximum value of the original value array.
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max_indexIndex of the maximum value of the original value array.
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first_quartileFirst quartile of the original value array.
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third_quartileThird quartile of the original value array.
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histogramNumpy histogram of the original value array.
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bin_edgesNumpy histogram bin edges of the original value array.
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