Any Python library equivalent to R package 'feasts', which is for analyzing time-series data?

Question

Question

• Is there an equivalent library in Python that does the same thing as gg_subseries, which is a function in R?
• gg_subseries separates the same time points (e.g. month, day) in different time series (e.g. year, week). A more detailed example is provided below with a code.

Question in more detail

• I am studying the book 'Forecasting: Principles and Practice', a book dealing with time-series analysis whose codes are written in R.
• Since I am a Python user, I am looking for a simple way to execute the following R codes in Python. The reference of the code is chapter 2.5 Seasonal Subseries Plots of the book.

a10 %>%
  gg_subseries(Cost) +
  labs(y = "$ million",
       title = "Seasonal subseries plot: antidiabetic drug sales")

• What gg_subseries did was that it plots each month's data point in different subplots to show what is happening in each month throughout the years.

• The function gg_subseries is a part of the R package feasts, if you are curious.

question from:https://stackoverflow.com/questions/65868927/any-python-library-equivalent-to-r-package-feasts-which-is-for-analyzing-time

Answer 1

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