https://github.com/eruffaldi/pylivestat

Python package to compute running descriptive statistics over data
https://github.com/eruffaldi/pylivestat

python statistics

Last synced: 3 months ago
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Python package to compute running descriptive statistics over data

• Host: GitHub
• URL: https://github.com/eruffaldi/pylivestat
• Owner: eruffaldi
• License: apache-2.0
• Created: 2013-12-31T09:19:48.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2017-06-15T10:56:11.000Z (over 7 years ago)
• Last Synced: 2024-07-06T22:22:25.191Z (4 months ago)
• Topics: python, statistics
• Language: Python
• Homepage:
• Size: 53.7 KB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        

# livestat

![livestat](icon.png)

Python module to compute running statistics over data, like when measuring timings from a stream.

Properties:

- count

- min,max,mean

- std and variance

- kurtosis and skewness 

- merge of two livestats preserving statistics

- arithmetic operation over stat: + - * /

- standardization of the stat: uses mean and std to compute offset and scaling and then applies to the data updating the other statistics

- minmax normalization to [0,1]: uses mean and std to compute offset and scaling and then applies to the data updating the other statistics

Normality tests:

- jarque_bera

- kurtosis and skewness 

The main class is LiveStat to which data can be appended with append(x). For incremental values the DeltaLiveStat provides an easy to use helper.

Usage:

	from livestat import LiveStat,DeltaLiveStat

	x = LiveStat("optionalname")

	x.append(10)

	x.append(20)

	print x # count is 2

	x = DeltaLiveStat("dt")

	x.append(10)

	x.append(20)

	print x # count is 1 containing the difference

	#also from array

	x.extend([10,20,30,40,50])

Extra Features: 

	

	# the LiveStat objects can be combined for example when performing over different data Windows or in a multiprocessing environment

	x.merge(y) # now x contains the merge of the statistics

	# the LiveStat object can be multipled by scalar or translated, for the objective of performing some unit transformation. All the measures are transformed appropriately

	x + 5

	x * 5

Planned

=======

- numpy support for fast forwarding append, and for vectorial statistics

Package Repository

==================

This project is maintained here: https://github.com/eruffaldi/pylivestat

Related

===========

The faststat package is similar:

	https://pypi.python.org/pypi/faststat/

	https://github.com/doublereedkurt/faststat/

	

More sophisticated features can be found in scipy.stats

	https://docs.scipy.org/doc/scipy-0.14.0/reference/tutorial/stats.html