Skip to main content

Allows to deal with power series which coefficients contain uncertainties

Project description

https://badge.fury.io/py/unseries.svg https://travis-ci.org/kirienko/unseries.svg?branch=master https://landscape.io/github/kirienko/unseries/master/landscape.png

This package allows to deal with power series which coefficients contain uncertainties.

It is build on top of uncertainties python package (see here).

Scope

For now the following fuctions are available:
  • series addition and subtraction

  • comparision (greater than, less than)

  • series multiplication

  • series inversion, i.e. Z(g) ➝ 1/Z(g)

  • series division (in the assumption that all powers are non-negative)

  • exponentiation

  • analitic differentiation

  • substitution, i.e. calculation of a series Z(g) at the point g₀ to a number with uncertainty

  • approximation

  • some technical functions: pprint, save [to file],

Example

Assume two series:

Z₁(g) = 1.00(30) + 2.0000(30) g

Z₂(g) = -1.0(4) - 2.000(4) g + 999.00(10) g²

Then Z₁+Z₂ = 0.0(5) + 0.000(5) g + 999.00(10) g²

from unseries import Series
z1 = Series(2, {0: ufloat(1, 0.3), 1: ufloat(2, .003)})
z2 = Series(3, {0: ufloat(-1, 0.4), 1: ufloat(-2, .004), 2: ufloat(999, .1)})
print z1 + z2

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

unseries-0.1.0.linux-x86_64.tar.gz (8.1 kB view details)

Uploaded Source

Built Distributions

unseries-0.1.0-py2.7.egg (9.8 kB view details)

Uploaded Source

unseries-0.1.0-py2-none-any.whl (6.6 kB view details)

Uploaded Python 2

File details

Details for the file unseries-0.1.0.linux-x86_64.tar.gz.

File metadata

File hashes

Hashes for unseries-0.1.0.linux-x86_64.tar.gz
Algorithm Hash digest
SHA256 8200454e85eae2afd6018597b8334a3b264e877d00d77a5af12f82c79b0108b5
MD5 120dc2c45ae41cb011c9c2bd993f4cd0
BLAKE2b-256 7d3cffefb86ec90e9d84432bdfb2362ecb3cb631935346c3489cbaa2a7841df2

See more details on using hashes here.

File details

Details for the file unseries-0.1.0-py2.7.egg.

File metadata

  • Download URL: unseries-0.1.0-py2.7.egg
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for unseries-0.1.0-py2.7.egg
Algorithm Hash digest
SHA256 728e30679cf979d5d9e5b46947419be47ef9ae92a7ef0d6b58567515e907589b
MD5 56986fb24b272f0e19f8758c37e6047c
BLAKE2b-256 0bc94595eaed0bbda47434e92543b7e2b1946706d905300b7fdefb5ee2601e37

See more details on using hashes here.

File details

Details for the file unseries-0.1.0-py2-none-any.whl.

File metadata

File hashes

Hashes for unseries-0.1.0-py2-none-any.whl
Algorithm Hash digest
SHA256 23020fd0c1e03e200b4691c212cc3c4313864ceb5d66fedb903f7d6d7281fc12
MD5 80e591ff863d8f928635c2557540f6cf
BLAKE2b-256 fbe7c0570943c687b03be2cf56f83a735b4c8e42938e8fee7aeae4a488438a4b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page