October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Pandas with R
R has a class of objects called DataFrame, which is the same as a pandas DataFrame. The R DataFrame is several times slower than pandas. Hence, learning pandas will also help tackle data manipulation problems in R. However, using the data.table data type to handle huge DataFrames in R is the best solution.
The reticulate package helps to access and use Python packages in R. For example, you can run these Python snippets in R:
library(reticulate)# Installing a python package from Rpy_install("pandas")# Importing pandaspd <- import("pandas", convert = FALSE)# Some basic pandas operations in Rpd_df <- pd$read_csv("train.csv")pd_head <- pd_df$head()pd_dtypes <- pd_df$dtypes
The same can be done on any other package ...
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