rpy2 ggplot2

Plotnine Csdn's edit and upload picture experience is too bad, more examples to plot-example to see. Https://github.com/has2k1/plotnine-examples Installation website: https://plotnine.readthedocs.io/en/stable/index.html Github:https://github.com/has2k1/plotnine Ggplot2 official website: http://ggplot2.tidyverse.org/reference/index.html#section-plot-basics Conda install-c conda-forge Plotnine # # Use Import

very popular language for data science, originally built by/for statisticians and now very widely used. Htmlwidgets-previously discussed in the post, htmlwidgets for Rich Data visualizations in R. allows for tons of interact Ion and great for the web. Ggplot2-a very popular plotting system for R. It is widely used and can create just about every type of graph.However, the plots is not interactive. R Visualization is a sample application

package. Numba-Python's low-level Virtual Machine JIT compiler, compiled by cython and numpy developers for scientific computing Networkx-efficient software for complex networks. Pandas-This database provides high-performance, easy-to-use data structures and data analysis tools. Open Mining-the pandas web interface in Python ). Pymc-MCMC sampling toolkit. Zipline-Python algorithm trading library. Pydy-Full name: Python dynamics, which assists in Dynamic Modeling workflows Based on numpy,

database provides high-performance, easy-to-use data structures and data analysis tools. Open Mining-the pandas web interface in Python ). Pymc-MCMC sampling toolkit. Zipline-Python algorithm trading library. Pydy-Full name: Python dynamics, which assists in Dynamic Modeling workflows Based on numpy, scipy, ipython, and matplotlib. Sympy-Python library for symbolic mathematics. Statsmodels-Python statistical modeling and library of metered economics. Astropy-Python astronomy library, com

work Ggvis, Lattice, and ggplot2 for data visualization Caret Machine Learning How does python work? If your data Analysis task requires the use of a Web application, or code statistics need to be incorporated into the production database for integration, you can use Python as a fully fledged programming language, which is a great tool for implementing algorithms. Although Python packages have been in the early stages of data analysis in the past,

Detailed usage of the Qplot () function:Library (GGPLOT2)# test Data set, Ggplot2 built-in diamond dataQplot (carat, price, data = diamonds)Dsmall #1. Visualize by basic classification of Color,size,shape#1.1 Simple scatter plot (using color classification, diamonds of different colors are represented by dots of different colors)Qplot (carat, price, data = dsmall, colour = color)

/PREDBLOG.RMD# #载入需要的包require (XML) require (DPLYR) require (Tidyr) require (READR) require (mosaic) require (Rcurl) require (GGPLOT2) Require (lubridate) require (Rjsonio) # #数据拉取url = "http://projects.fivethirtyeight.com/2016-election-forecast/ national-polls/"Doc View all selection data: AllolldataFast VisualizationIt is necessary to simply look at the data before figuring out the proportion of the projected votes for the 2016 U.S. presidential cam

story. Practical adviceMany statistical beamer templates for home latex make slides. It's handy for editing equations, and it's beautifully formatted. And it has great flexibility in the making of text colors, font selection, navigation bars, and graphics and animations. But I prefer the keynote of the Apple Computer. It's much more flexible in formatting, and it's able to use very personal fonts (such as my handwriting), and it can seamlessly combine animations and movies. There is a "Tmp

Plyr. Step 4: Learn specific packages in r–data.table and DplyrThis is the WHERE fun begins! Here are a brief introduction to various libraries. Let ' s start practicing some common operations. Practice the Data.table tutorial thoroughly here. Print and study the cheat sheet for data.table Next, you can has a look at the Dplyr tutorial here. For text mining, start with creating a word cloud in R and then learn learn through this series of Tutorial:part 1 and Pa RT 2. For so

The R language draws maps, which are often used in data analysis and can achieve very good results, and this section provides examples of how to use the R language tools to draw the ideal map.Examples of this section run smoothly under the R version 2.15.3 release, and other versions are pending.The code is as follows: The first small example# load the appropriate package, read the data, and then draw. Library (maptools), library (Ggplot2), China_map

with the GGPLOT2 in the R language, it seems that two packages are used and the likelihood is developed by the same person! The original author also said on GITHUB that the PYTHON library will no longer be updated! However, ggplot2 is really a drawing artifact, which is almost the only reason I am still using the R language. Therefore, matplotlib is required no matter which library you want to use. Altho

operator string • zoo performs regular and irregular time series operations • Ggvis, lattice, and ggplot2 for data visualization • Caret machine learning How to use Python? If your data analysis tasks require Web applications or code statistics to be integrated into the production database, you can use python as a fully sophisticated programming language, it is a great tool for implementing algorithms. Although the python package is still in its ea

Currently, ggplot2 is mainly used for data visualization analysis. However, ggplot2 does not support 3D plotting, so you need to find other alternatives. The two alternatives found below are good, and the test is feasible, which is recorded here. Interactive 3D Library (RGL) with (mtcars, {plot3d (wt, DISP, mpg, Col="Red", Size = 3)}) Static 3D Library (scatterplot3d) with (mtcars, {scatterplot3d

1. Introduction to the three major mapping systems of R1.1 Basic drawing System (base plotting systems)-Artist's palette: drawing suitable for blank canvas· need to implement plans; visualize the logic of drawing and analyzing data in real time-Two steps = figure + Modify/Add = Perform a series of functions-Suitable for drawing 2D graphs1.2 Lattice Drawing System (Lattice plotting systems)-draw = Use a function call once (a graph)-Ideal for interacting with observational variables: How variable

Dynamic installation library in R languageIn an R script, we used some libraries, but found that the operating environment does not have the library, if you can detect if there is no this package, do not automatically install that much better. and R is very convenient to support these, as long as the Internet.The code is as follows:site"http://cran.r-project.org"if (!require("ggplot2")) { install.package("ggplot2