Skip to main content

This package contains functions to calculate Economic Complexity indicators.
The functions handle the data through pandas.DataFrame objects.

Installation

We recommend the use of poetry, to resolve the best version of the dependencies that works with your current project.

$ poetry add economic-complexity

For the time being the library is compatible with both pandas and polars, though we intend to migrate to polars completely. Specify the package you want to use as backend as an extra at installation:

$ poetry add economic-complexity[pandas]
$ # or
$ poetry add economic-complexity[polars]

Tutorial

We have a brief Tutorial, using data from the Observatory of Economic Complexity, to get started on how to use the basic functions of this package.
More complex functions use the resulting dataframes of the basic functions as arguments.

References

  • Hidalgo, César A. (2021). Economic complexity theory and applications. Nature Reviews Physics, 3(2), 92–113. https://doi.org/10.1038/s42254-020-00275-1

  • Catalán, P., Navarrete, C., & Figueroa, F. (2020). The scientific and technological cross-space: Is technological diversification driven by scientific endogenous capacity? Research Policy, 104016, 104016. https://doi.org/10.1016/j.respol.2020.104016

  • Hidalgo, César A., & Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences of the United States of America, 106(26), 10570–10575. https://doi.org/10.1073/pnas.0900943106

  • Hidalgo, C. A., Klinger, B., Barabási, A.-L., & Hausmann, R. (2007). The product space conditions the development of nations. Science (New York, N.Y.), 317(5837), 482–487. https://doi.org/10.1126/science.1144581

  • Hartmann, D., Guevara, M. R., Jara-Figueroa, C., Aristarán, M., & Hidalgo, C. A. (2017). Linking Economic Complexity, Institutions, and Income Inequality. World Development, 93, 75–93. https://doi.org/10.1016/j.worlddev.2016.12.020

  • Romero, J. P., & Gramkow, C. (2021). Economic complexity and greenhouse gas emissions. World Development, 139, 105317. https://doi.org/10.1016/j.worlddev.2020.105317

  • Bahar, D., Hausmann, R., Hidalgo, C. A. (2014). Neighbors and the evolution of the comparative advantage of nations: Evidence of international knowledge diffusion?. Journal of International Economics, 92, 111-123. http://dx.doi.org/10.1016/j.jinteco.2013.11.001


© 2022 Datawheel, LLC.
This project is licensed under MIT.

Metadata

Release files for economic-complexity 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for economic-complexity 0.3.0
File Size Uploaded Provenance
economic_complexity-0.3.0.tar.gz 12.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for economic-complexity 0.3.0
File Interpreter ABI Platform
economic_complexity-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 30.5 kB

Release files / economic_complexity-0.3.0.tar.gz

Download URL economic_complexity-0.3.0.tar.gz
Size 12.7 kB
Tags Source
SHA-256 checksum
How to use checksums
3d301a5c769eb2cdbf6de25cf099a2c6a307fbfd2a963980825291e0971b66e8
BLAKE2b-256 checksum
How to use checksums
4de8d9eaddebe89684b4ad5cf748d1558405ea1e34bd0600dec3d2bc63cca05d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.3 CPython/3.12.3 Linux/6.11.0-1015-azure

Release files / economic_complexity-0.3.0-py3-none-any.whl

Download URL economic_complexity-0.3.0-py3-none-any.whl
Size 17.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a863721b226fdeca6f55faa0872e3a67f745baba60f8827340a7594343a51b83
BLAKE2b-256 checksum
How to use checksums
a666614288f2f07f31b25d88fc27bffe7c138def6b40ccb11a1ef9277cf49154
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/2.1.3 CPython/3.12.3 Linux/6.11.0-1015-azure

Security for economic-complexity 0.3.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page