R数据可视化怎么实现NBA球员薪水排行榜

import math
import requests
from bs4 import BeautifulSoup

headers = {"User-Agent":'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'}

fw = open('NBA_salary_3.txt','w')
fw.write('%s\t%s\t%s\t%s\t%s\t%s\n'%("year","rk","player","position","team","salary"))

years = list(range(2000,2021))


for year in years:
    URL = "http://www.espn.com/nba/salaries/_/year/" + str(year)
    print(URL)
    page = requests.get(URL,headers=headers)
    soup = BeautifulSoup(page.content,'html.parser')
    
    df = soup.find_all('tr')
    j = 0
    for aa in df:
        j = j + 1
        if j == 1:
            continue
        elif j > 1 and j < 12:
            all_td = aa.find_all('td')
            rk = all_td[0].get_text()
            player_position = all_td[1].get_text()
            #print(player_position)
            player = player_position.split(",")[0]
            position = player_position.split(",")[1]
            team = all_td[2].get_text()
            salary = all_td[3].get_text().replace("$","").replace(",","")
            
            fw.write('%s\t%s\t%s\t%s\t%s\t%s\n'%(str(year),rk,player,position,team,salary))
        
        else:
            break
            

fw.close()

library(ggplot2)
ggplot(df1,aes(x=rk,y=salary))+
  geom_col(aes(fill=player))+
  geom_label(aes(label=paste0(salary,"万"),hjust=1))+
  theme_bw()+
  scale_x_continuous(breaks = 1:10,labels = df1$player)+
  coord_flip()+labs(x="",y="")+
  theme(legend.position = "none")

 

使用的工具是R语言的gganimate包 

用到的代码是

df<-read.csv("NBA_salary_3.txt",header=T,sep="\t",stringsAsFactors = F)
df$salary<-df$salary/10000
head(df)

library(tidyquant)
x1<-palette_dark()
colors<-matrix(x1)[,1][1:10]
colors<-sample(colors,69,replace = T)
colors

library(ggplot2)
staticplot = ggplot(df, aes(rk, group = player,
                            fill = as.factor(player),
                            color = as.factor(player))) +
  geom_tile(aes(y = salary/2,
                height = salary,
                width = 0.9), alpha = 0.8, color = NA) +
  geom_text(aes(y = 0, label = paste(player, " ")), vjust = 0.2,
            hjust = 1,color="black") +
  geom_text(aes(y=salary,label = salary, hjust=0),color="black") +
  scale_fill_manual(values = colors)+
  coord_flip(clip = "off", expand = FALSE) +
  scale_y_continuous(labels = scales::comma) +
  scale_x_reverse() +
  guides(color = FALSE, fill = FALSE) +
  theme(axis.line=element_blank(),
        axis.text.x=element_blank(),
        axis.text.y=element_blank(),
        axis.ticks=element_blank(),
        axis.title.x=element_blank(),
        axis.title.y=element_blank(),
        legend.position="none",
        panel.background=element_blank(),
        panel.border=element_blank(),
        panel.grid.major=element_blank(),
        panel.grid.minor=element_blank(),
        panel.grid.major.x = element_line( size=.1, color="grey" ),
        panel.grid.minor.x = element_line( size=.1, color="grey" ),
        plot.title=element_text(size=25, hjust=0.5, face="bold", colour="grey", vjust=-1),
        plot.subtitle=element_text(size=18, hjust=0.5, face="italic", color="grey"),
        plot.caption =element_text(size=8, hjust=0.5, face="italic", color="grey"),
        plot.background=element_blank(),
        plot.margin = margin(2,2, 2, 4, "cm"))

staticplot
library(gganimate)
help(package="gganimate")
anim = staticplot + transition_states(year,
                                      transition_length = 4,
                                      state_length = 1) +
  view_follow(fixed_x = TRUE)  +
  labs(title = 'NBA player Salary : {closest_state}',
       subtitle  =  "Top 10 Players",
       caption  = "Data Source: http://www.espn.com/nba/salaries")



animate(anim, 300, fps = 10, duration = 20,
        width = 1200, height = 1000,
        renderer = ffmpeg_renderer()) -> for_mp4

anim_save("animation_6.mp4", animation = for_mp4 )