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Interquartile Mean pure-Python module

Project Description

python-iqm

Interquartile Mean pure-Python module. It contains two classes:

  1. DictIQM
  2. MovingIQM

DictIQM

This class is efficient for datasets in which many numbers are repeated. It should not be used for large datasets with a uniform distribution. The trade-off between accuracy and memory usage can be manged with its \(round_digits\) argument.

Usage

from iqm import DictIQM
import sys

diqm = DictIQM(round_digits=-1, tenth_precise=True)
for line in open("source1_numbers_list.txt", "r"):
    diqm("source1", line)

print "# {:12,.2f}    Dict IQM".format(diqm.report("source1"))

MovingIQM

This class sacrifices accuracy for speed and low memory usage.

Usage

from iqm import MovingIQM
import sys

miqm = MovingIQM(1000)
for line in open("source1_numbers_list.txt", "r"):
    miqm("source1", line)

print "# {:12,.2f}    Moving IQM".format(miqm.report("source1"))

License

See LICENSE.txt (MIT License).

Release History

Release History

This version
History Node

0.2.1

History Node

0.2.0

History Node

0.1.1

History Node

0.1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
python-iqm-0.2.1.tar.gz (4.4 kB) Copy SHA256 Checksum SHA256 Source Oct 18, 2013

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