13),('Y2',23),('Y3',33)],['name','age']) df.createGlobalTempView('Y') df1 = spark.sql('select * from global_temp.Y') sorted(df.collect())==sorted(df1.collect()) #spark.catalog.dropGlobalTempView("Y") 删除视图
- how --- 字符串,默认为'inner',可输入'inner','outer','left_outer','right_outer','leftsemi' <div class="se-preview-section-delimiter"></div> ``` python >>> df.join(df2, == , 'outer').select(, df2.height).collect() [Row(name=None, height=80), Row(name=u'Bob', height=...
jdbcDF.explode("c3","c3_"){time: String => time.split("")} 13、 filter(conditionExpr: String): 刷选部分数据,返回dataframe类型 df.filter("age>10").show(); df.filter(df("age")>10).show(); df.where(df("age")>10).show(); 14、 groupBy(col1: String, cols: String*) 分组 df...
filter(condition) 根据给定的condition过滤rows where() 是 filter()的别名 Parameters:condition–a Column of types.BooleanType or a string of SQL expression. >>> df.filter(df.age > 3).collect() [Row(age=5, name=u'Bob')]>>> df.where(df.age == 2).collect() [Row(age=2, name=u'A...
mask() Replace all values where the specified condition is True max() Return the max of the values in the specified axis mean() Return the mean of the values in the specified axis median() Return the median of the values in the specified axis melt() Reshape the DataFrame from a wide ...
if a.sameRef(b) => catalyst.expressions.EqualNullSafe( withPlan(plan.left).resolve(a.name), withPlan(plan.right).resolve(b.name)) }} withPlan { plan.copy(condition = cond) }}/** * 显式进行笛卡尔连接操作,与另一个 `DataFrame` 进行连接操作。 * * @param right 连接操作的右侧 * * ...
multiple data frames I have multiple data frames. For suppose consider I have three data frames:- Now I want to join three data frames based on column 'abc' where the join condition is 'outer' for the first two data frame...相关问题 ...
When looking to create more complex subsets or a subset based on a condition, the next step up is to use the subset() function. For example, what if you wanted to look at debt from someone named Dan. You could just use the brackets to select their debt and total it up, but it isn...
DataFrame bigOrders = orders.selectBy("Count >= 10");bigOrdersCustomerCountPriceDateAvgDonutPrice "Bob" 10 40.3400 2020-11-10 4.0340 "Carl" 11 44.7800 2020-12-25 4.0709Selection of a dataframe without the rows matching the filter condition...
# pythondf.withColumn("count2",col("count").cast("long"))# SQLSELECT*,cast(countaslong)AScount2FROMdfTable 2.6 Filtering Rows There are two methods to perform this operation: you can usewhereorfilterand they both will perform the same operation and accept the same argument types when used...