Visualización de series de tiempo en Python
Palabras clave:
series de tiempo, Python, graficación
Resumen
Se muestra el uso del lenguaje de programación Python para obtener
representaciones gráficas de series de tiempo. Además se usa
Python para estudiar el concepto de la gráfica de visibilidad de
una serie de tiempo. Los ejemplos mostrados pueden ser útiles en
otros contextos donde pueda aplicarse la programación en problemas
científicos.
Citas
Bezsudnov, I. V., Snarskii, A. A., 2014. From the time series to the complex
networks: the parametric natural visibility graph. Phys. A 414, 53–60.
URL http://dx.doi.org/10.1016/j.physa.2014.07.002
Brockwell, P. J., Davis, R. A., 2016. Introduction to time series and forecasting,
3rd Edition. Springer Texts in Statistics. Springer, [Cham].
URL http://dx.doi.org/10.1007/978-3-319-29854-2
Devaney, R. L., 1989. An introduction to chaotic dynamical systems, 2nd Edition.
Addison-Wesley Studies in Nonlinearity. Addison-Wesley Publishing
Company, Advanced Book Program, Redwood City, CA.
Gutin, G., Mansour, T., Severini, S., 2011. A characterization of horizontal visibility
graphs and combinatorics on words. Phys. A 390 (12), 2421–2428.
URL http://dx.doi.org/10.1016/j.physa.2011.02.031
Harary, F., 1969. Graph theory. Addison-Wesley Publishing Co., Reading,
Mass.-Menlo Park, Calif.-London.
Lacasa, L., Luque, B., Ballesteros, F., Luque, J., Nuño, J. C., 2008. From time
series to complex networks: the visibility graph. Proc. Natl. Acad. Sci. USA
105 (13), 4972–4975.
URL http://dx.doi.org/10.1073/pnas.0709247105
Langtangen, H. P., 2016. A primer on scientific programming with Python, 5th
Edition. Vol. 6 of Texts in Computational Science and Engineering. Springer,
Heidelberg, for the fourth edition see [ MR3237666].
URL http://dx.doi.org/10.1007/978-3-662-49887-3
Luque, B., Lacasa, L., Ballesteros, F., Luque, J., 2009. Horizontal visibility
graphs: Exact results from random time series. Physical Review E 80.
Supriya, S., Siuly, S., Wang, H., Cao, J., Zhang, Y., 2016. Weighted visibility
graph with complex network features in the detection of epilepsy. IEEE Access
4, 6554 – 6566.
networks: the parametric natural visibility graph. Phys. A 414, 53–60.
URL http://dx.doi.org/10.1016/j.physa.2014.07.002
Brockwell, P. J., Davis, R. A., 2016. Introduction to time series and forecasting,
3rd Edition. Springer Texts in Statistics. Springer, [Cham].
URL http://dx.doi.org/10.1007/978-3-319-29854-2
Devaney, R. L., 1989. An introduction to chaotic dynamical systems, 2nd Edition.
Addison-Wesley Studies in Nonlinearity. Addison-Wesley Publishing
Company, Advanced Book Program, Redwood City, CA.
Gutin, G., Mansour, T., Severini, S., 2011. A characterization of horizontal visibility
graphs and combinatorics on words. Phys. A 390 (12), 2421–2428.
URL http://dx.doi.org/10.1016/j.physa.2011.02.031
Harary, F., 1969. Graph theory. Addison-Wesley Publishing Co., Reading,
Mass.-Menlo Park, Calif.-London.
Lacasa, L., Luque, B., Ballesteros, F., Luque, J., Nuño, J. C., 2008. From time
series to complex networks: the visibility graph. Proc. Natl. Acad. Sci. USA
105 (13), 4972–4975.
URL http://dx.doi.org/10.1073/pnas.0709247105
Langtangen, H. P., 2016. A primer on scientific programming with Python, 5th
Edition. Vol. 6 of Texts in Computational Science and Engineering. Springer,
Heidelberg, for the fourth edition see [ MR3237666].
URL http://dx.doi.org/10.1007/978-3-662-49887-3
Luque, B., Lacasa, L., Ballesteros, F., Luque, J., 2009. Horizontal visibility
graphs: Exact results from random time series. Physical Review E 80.
Supriya, S., Siuly, S., Wang, H., Cao, J., Zhang, Y., 2016. Weighted visibility
graph with complex network features in the detection of epilepsy. IEEE Access
4, 6554 – 6566.
Publicado
2018-07-05
Sección
Artículos
