StructType schema = df.schema().add(DataTypes.createStructField("id", DataTypes.LongType, false)); 使用RDD的zipWithIndex得到索引,作为ID值: JavaRDD<Row> rdd = df .javaRDD() // 转为JavaRDD .zipWithIndex() // 添加索引,结果为JavaPairRDD<Row, Long>,即行数据和对应的索引 .map(new Functio...
使用rdd的zipWithIndex(),这里依然手动设置为两个分区 val tmpRdd: RDD[(Row, Long)] = df.rdd.repartition(2).zipWithIndex() val record: RDD[Row] = tmpRdd.map(x => { Row(x._1.get(0), x._1.get(1), x._2) }) val schema = new StructType().add("name", "string") .add("a...
for index, row in df.iterrows(): print('index:',index) # 输出每行的索引值 print('row2:',row['team_name']) break #df.iterrows()返回的是一个元组:(index,data) #方法2: for row in df.itertuples(): print('方法2:') print(getattr(row, 'team_name'), getattr(row, 'num')) # ...
classpandas.DataFrame(data=None,index=None,columns=None,dtype=None,copy=None)[source]二维、大小可变...
方法描述DataFrame.asfreq(freq[, method, how, …])将时间序列转换为特定的频次DataFrame.asof(where[, subset])The last row without any NaN is taken (or the last row withoutDataFrame.shift([periods, freq, axis])Shift index by desired number of periods with an optional time freqDataFrame.first_...
The “ignore_index=True” parameter ensures that the index of the resulting DataFrame is reset. Output The particular DataFrame has been updated with the new row. Method 3: Add/Insert a Row to Pandas DataFrame Utilizing the “dataframe.append()” Function ...
Row(x._1.get(0), x._2) }) val schema=newStructType().add("col1","long") .add("id","long") spark.createDataFrame(record,schema).show() zipWithIndex():首先基于分区索引排序,然后是每个分区中的项的排序。所以第一个分区中的第一项得到索引0,最后一个分区中的最后一项得到最大的索引。从...
math.max(curMax, row.map(cell => Utils.stringHalfWidth(cell)).max) } dataRows.zipWithIndex.foreach { case (row, i) => // size中的"+ 5"表示除了填充的名称和数据之外的字符长度 val rowHeader = StringUtils.rightPad( s"-RECORD $i", fieldNameColWidth + dataColWidth + 5, "-") sb...
# 验证salary_add值的个数。因为笛卡尔积是作用在相同索引元素上的,可以对其平方值求和 In[30]: index_vc = salary1.index.value_counts(dropna=False) index_vc Out[30]: Black or African American 700 White 665 Hispanic/Latino 480 Asian/Pacific Islander 107 NaN 35 American Indian or Alaskan Native ...
To add new rows usingiloc, you’ll first need to increase the DataFrame’s index size. Then you can useilocto directly place data into the new row positions: # Number of new rows to add num_new_rows = 3 # Increase DataFrame index size ...