October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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pandas with Julia
Julia has a DataFrame package to handle operations on DataFrames. Benchmarking results has shown that pandas is the clear winner when it comes to speed and computational efficiency. Just like R, Julia allows us to integrate pandas in the script.
After installation, pandas can be loaded into the Julia environment directly, as shown:
Pkg.add("Pandas")using Pandas# Creating a dataframe objectdf = DataFrame(Dict(:score=>[67, 89, 32], :name=>["A", "B", "C"]))# Any Pandas function or method could be applied on the created dataframe.head(df)describe(df)
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