还可以用sparklyr::spark_read_table执行类似操作。 例如,在笔记本单元格中运行以下代码,将上文名为jsonDF的 DataFrame 查询并汇入到一个 DataFrame 中,然后使用sparklyr::collect打印 DataFrame 的前 10 行(默认): R复制 fromTable <- spark_read_table( sc = sc, name ="json_books_agg") collect(fromTable...
CREATE TABLE RTestData (col1 INT NOT NULL) INSERT INTO RTestData VALUES (1); INSERT INTO RTestData VALUES (10); INSERT INTO RTestData VALUES (100); GO 例如,假设你要运行以下语句来使用 R 执行矩阵乘法。将包含三个值的单列矩阵乘以包含四个值的数组,预期结果为 4x3 矩阵。 SQL ...
1:15]) position_ST_ninth <-as.data.frame(position_ST_ninth)#数据框 rownames(position_ST_ninth) <- position_ST_ninth[,1] position_ST_ninth <- position_ST_ninth[,-1] #因为
create("results_TVP_VAR") #output the spillover results as csv files total.date<-cbind(as.data.frame(date),total) to.date<-cbind(as.data.frame(date),to) from.date<-cbind(as.data.frame(date),from) net.date<-cbind(as.data.frame(date),net) write.csv(total.date,'results_TVP_VAR...
STDOUT message(s) from external script: 'data.frame': 3 obs. of 1 variable: $ mytextvariable: Factor w/ 3 levels " ","hello","world": 2 1 3 結果- 範例 2 輸出 STDOUT message(s) from external script: 'data.frame': 1 obs. of 3 variables: $ c..hello..: Factor w/ 1 leve...
# Create the connection object to the database where we want to create the table. mysqlconnection = dbConnect(MySQL(), user='root', password='', dbname='sakila', host='localhost') # Use the R data frame "mtcars" to create the table in MySql. # All the rows of mtcars are taken ...
Technically it uses nest() + mutate() + map() to apply arbitrary computation to a grouped data frame. sample_n_by(): sample n rows by group from a table convert_as_factor(), set_ref_level(), reorder_levels(): Provides pipe-friendly functions to convert simultaneously multiple variables...
sparkR.session() sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING)") sql("LOAD DATA LOCAL INPATH 'examples/src/main/resources/kv1.txt' INTO TABLE src") # Queries can be expressed in HiveQL. results <- sql("FROM src SELECT key, value") # results is now a SparkDataFram...
运行以下代码后：复制library(gptchatteR)chatter.auth(Sys.getenv("OPENAI_API_KEY"))chatter.create(temperature = 0)chatter.feed('I have the following data in R mydf <- data.frame(State = c("CT", "NJ", "NY"), Pop = c(3605944, 9288994, 20201249))')myplot <- chatter.plot("Make a ...
I am trying to translate the pandas - arrow table - R data frame conversion example from the official documentation ("From pandas.DataFrame to R data.frame through an Arrow Table") to python without Ipython magic. This produces a segmentation fault in zsh and bash on exit, so when the ...