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library(ggplot2) tidy_books %>% count(word, sort = TrUE) %>% filter(n > 600) %>%#这里我们筛选出现次数大于600的词 mutate(word = reorder(word, n)) %>%#这里需要重新再进行排序,因为过滤之后重新排序了。 ggplot(aes(n, word)) + geom_col() + labs(y = NULL) ...
筛选行 # Python # Rdf.drop_duplicates() df %<% distinct()df[df.col > 3] df %<% filter(col > 3)排序 # Python # Rdf.sort_values(by='column') arrange(df, column)聚合 # Pythondf.groupby('col1')['agg_col').agg(['mean()']).reset_index()# Rdf %>% group_by...
图7-12通过filter-policy对OSPF接收的路由过滤(区域内)示例 配置方法 在SwitchB上定义一个地址前缀列表,“抓取”符合条件的路由。 [SwitchB]ip ip-prefix huawei index 10 deny 10.1.1.0 24//拒绝这条 [SwitchB]ip ip-prefix huawei index 20 permit 0.0.0.0 0 less-equal 32//允许所有 ...
(country_name=="Australia")|>select(Category,Subcategory,hoursPerDayCombined)au_vor<-voronoi_treemap(hoursPerDayCombined~Category+Subcategory,data=au_data)set.seed(1234)groups<-filter(au_vor,level==1)subgroups<-filter(au_vor,level==2)|>group_by(group)|>mutate(alpha=runif(1,0,0.6))|>...
filter()用于根据特定列的条件筛选数据框中的行 library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base':
(state="FL",yearOfLoss="= 2020")#Make the API call using the `open_fema` function. The function will output a#status message to the console letting you monitor the progress of the data retrieval.data<-open_fema(data_set="fimaNfipClaims",ask_before_call=F,filters=filterList)#view ...
undo cnc domain-filter enable命令用来关闭域名过滤功能。 命令格式 cnc domain-filter enable [ action { alert | block } ] undo cnc domain-filter enable 参数说明 参数参数说明取值 action 指定动作。 - alert 设置动作为告警。域名命中恶意域名后,系统放行报文,并记录日志。 - block 设置动作为阻断。域名...
= #is not equal to & #and & #and | #or | #or 调用函数 # Python # R functionname(args, kwargs) functionname(args, kwargs) print("Hello World!") print("Hello World!") 条件判断 # Python # R if True: if (TRUE) { print('Hello World!') print('Go to sleep!')...