Julia-DataFrames-Tutorial
IndexedTables.jl
Julia-DataFrames-Tutorial | IndexedTables.jl | |
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2 | 2 | |
507 | 119 | |
- | 1.7% | |
0.0 | 5.9 | |
about 1 year ago | about 1 month ago | |
Jupyter Notebook | Julia | |
MIT License | MIT License |
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Julia-DataFrames-Tutorial
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Pandas vs. Julia – cheat sheet and comparison
To be clear on this: DataFrames, like most of the Julia ecosystem, follows SemVer. DataFrames 1.0 was released over two years ago (March 2021), and the API has been stable ever since.
Furthermore, Bogumil Kaminski, one of the main developers behind DataFrames, makes sure that the DataFrames tutorials he has created here (https://github.com/bkamins/Julia-DataFrames-Tutorial) are updated on every new release.
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How do I access a specific column/row based on the column name and/or row value with an indexed table?
Take a look at the these notebooks: https://github.com/bkamins/Julia-DataFrames-Tutorial
IndexedTables.jl
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Table Oriented Programming (2002)
unfortunately, I don't have access to that code anymore, I wrote a number of loaders for different data set types including CSV. The time series were all modeled as forward iterating stream of tuples, so there is no specific table abstraction. There is an implicit assumption that the stream is ordered by the join key, in a time series this being the timestamp, though nothing in the implementation enforced that.
Joins are always n-way merge joins, so you can write something like y = 2x^2 - 3z and fold that into a single streaming operation y = f( x, z ) where y, x and z are time streams.
When rendered to screen they looked very similar to your examples. With plugins in the IDE you could directly plot and array of time series as a chart.
Since the time I wrote NamedTuples the Julia core team folded the functionality into the core of Julia https://docs.julialang.org/en/v1/manual/types/#Named-Tuple-T.... This is the core of https://juliadb.org/ all credit to the Julia core team
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How do I access a specific column/row based on the column name and/or row value with an indexed table?
I am talking about https://github.com/JuliaData/IndexedTables.jl. I’m just getting started with Julia so I might not really know what I’m doing right now lol
What are some alternatives?
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
julia - The Julia Programming Language
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
empirical-lang - A language for time-series analysis
JuliaTutorials - Learn Julia via interactive tutorials!
Julia-on-Colab - Notebook for running Julia on Google Colab
JuliaCall - Embed Julia in R
RigidBodySim.jl - Simulation and visualization of articulated rigid body systems in Julia