我目前正在使用 python pandas 并想知道是否有办法将 pandas 中的数据输出到 julia Dataframes 中，反之亦然.(我认为你可以用 Pycall 从 Julia 调用 python，但我不确定它是否适用于数据帧)有没有办法从 python 调用 Julia 并让它接收 pandas 数据帧?(不保存为另一种文件格式，如 csv)
I am currently using python pandas and want to know if there is a way to output the data from pandas into julia Dataframes and vice versa. (I think you can call python from Julia with Pycall but I am not sure if it works with dataframes) Is there a way to call Julia from python and have it take in pandas dataframes? (without saving to another file format like csv)
什么时候使用 Julia Dataframes 比 Pandas 更有利，而不是非常大的数据集和运行具有许多循环的东西(如神经网络)?
When would it be advantageous to use Julia Dataframes than Pandas other than extremely large datasets and running things with many loops(like neural networks)?
所以有一个为此开发的库
So there is a library developed for this
PyJulia 是一个使用 Python 2 和 3 与 Julia 交互的库
PyJulia is a library used to interface with Julia using Python 2 and 3
https://github.com/JuliaLang/pyjulia
这是实验性的，但有些工作
It is experimental but somewhat works
其次，Julia 还有一个 pandas 的前端，即 pandas.jl
Secondly Julia also has a front end for pandas which is pandas.jl
https://github.com/malmaud/Pandas.jl
它看起来只是 pandas 的包装器，但您也许可以使用 julia 的并行功能执行多个功能.
It looks to be just a wrapper for pandas but you might be able to execute multiple functions using julia's parallel features.
至于哪个更好，目前 pandas 根据这个 在 Julia 中读取 csv 比 Python 慢
As for the which is better so far pandas has faster I/O according to this reading csv in Julia is slow compared to Python
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