Dataframe union()–union()method of the DataFrame is used to merge two DataFrame’s of the same structure/schema. The output includes all rows from both DataFrames and duplicates are retained. If schemas are not
union(other) Return a new DataFrame containing union of rows in this and another DataFrame. 两个df合并(去重?) unionAll(other) Return a new DataFrame containing union of rows in this and another DataFrame. 两个df合并(不去重) unionByName(other[, allowMissingColumns]) Returns a new DataFrame c...
from google.cloud import bigquery -from sqlglot.dataframe.sql.session import SparkSession -from sqlglot.dataframe.sql import types -from sqlglot.dataframe.sql import functions as F - -client = bigquery.Client() - -data = [ - (1, "Jack", "Shephard", 34), - (2, "John", "Locke", 4...
unionByName(other)[source] Returns a new DataFrame containing union of rows in this and another frame. This is different from both UNION ALL and UNION DISTINCT in SQL. To do a SQL-style set union (that does deduplication of elements), use this function followed by distinct(). ...
- unionByName - - - intersect - - - intersectAll - - - exceptAll - - - distinct - - - dropDuplicates - - - dropna - - - fillna - - - replace - - - withColumn - - - withColumnRenamed - - - drop - - - limit - - - hint - - -...