November 2017
Beginner
316 pages
6h 40m
English
Content preview from Learning Julia
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Using Pandas
For those familiar with data analysis in Python, the package Pandas has always played a major role in manipulating data. Similar to DataFrames.jl, it provides with its own set of data structures. Because of its widely known abilities and robust performance, the Pandas package is available for Julia as well.
To install Pandas, you need to have Python running on your system and Pandas installed as a package. That can be achieved by running the sudo pip install pandas command.
Run the following command inside Julia REPL:
julia> Pkg.add("Pandas")
julia> using Pandas
Once done, we can revisit the same DataFrame we made earlier, but with a little twist. We need to supply the arguments to pandasDataFrame in the form of a hashmap:
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