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sensitivity

Sensitivity Analysis in Python - Gradient DataFrames and Hex-Bin Plots

https://github.com/nickderobertis/sensitivity

Science Score: 26.0%

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    Scientific vocabulary similarity
    Low similarity (7.3%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Sensitivity Analysis in Python - Gradient DataFrames and Hex-Bin Plots

Basic Info
  • Host: GitHub
  • Owner: nickderobertis
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 4.37 MB
Statistics
  • Stars: 15
  • Watchers: 2
  • Forks: 1
  • Open Issues: 5
  • Releases: 4
Created over 6 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

sensitivity

Overview

Python Sensitivity Analysis - Gradient DataFrames and Hex-Bin Plots

It is common in financial modeling to conduct a sensitivity analysis on the model. This analysis runs the model changing the inputs values and collecting the outputs. Then the modeler can examine how the outputs change in response to the inputs changing. This library was created to ease this process, especially around visualization of the results.

While it was developed for financial modeling, it can be used with any function to understand how changing the inputs of the function affect the outputs.

Getting Started

Install sensitivity:

pip install sensitivity

A simple example:

```python from sensitivity import SensitivityAnalyzer

def mymodel(x1, x2): return x1 ** x_2

sensitivitydict = { 'x1': [10, 20, 30], 'x_2': [1, 2, 3] }

sa = SensitivityAnalyzer(sensitivitydict, mymodel) plot = sa.plot() styleddf = sa.styleddfs() ```

Links

See the documentation here.

Author

Created by Nick DeRobertis. MIT License.

Owner

  • Name: Nick DeRobertis
  • Login: nickderobertis
  • Kind: user

nickderobertis.com

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 56
  • Total Committers: 2
  • Avg Commits per committer: 28.0
  • Development Distribution Score (DDS): 0.036
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Nick DeRobertis w****p@g****m 54
TODO t****] 2

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 6
  • Total pull requests: 37
  • Average time to close issues: 2 months
  • Average time to close pull requests: 3 months
  • Total issue authors: 5
  • Total pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.7
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 28
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • nickderobertis (2)
  • thiagoguarino (1)
  • shubhamdhingra15s (1)
  • gitfeldhase (1)
  • kimes0726 (1)
Pull Request Authors
  • dependabot[bot] (28)
  • nickderobertis (9)
Top Labels
Issue Labels
Pull Request Labels
dependencies (28) enhancement (5) bug (2) documentation (2) maintenance (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 232 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 3
  • Total versions: 11
  • Total maintainers: 1
pypi.org: sensitivity

Python Sensitivity Analysis - Gradient DataFrames and Hex-Bin Plots

  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 3
  • Downloads: 232 Last month
Rankings
Dependent repos count: 9.0%
Dependent packages count: 10.0%
Stargazers count: 16.0%
Average: 16.4%
Downloads: 16.9%
Forks count: 29.8%
Maintainers (1)
whoopnip
Last synced: 11 months ago

Dependencies

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