【发布时间】:2022-12-09 13:14:12
【问题描述】:
我尝试将 null 值转换为字符串变量 x。原因是这个数据框应该导入到 power Bi 来进行可视化。我们的目标是计算一个箱线图,我的想法是如果有一个x,那么这些值将不会被包含在计算中。这样,我们就可以避免在计算中高估。用 x 替换空值是个好主意吗?或者有更好的方法吗?
data = [["1", "Amit", "DU", "I", "8", "6"],
["2", "Mohit", "DU", "I", "4", "2"],
["3", "rohith", "BHU", "I", "5", "3"],
["4", "sridevi", "LPU", "I", "1", "6"],
["1", "sravan", "KLMP", "M", "2", "4"],
["5", "gnanesh", "IIT", "M", "null", "8"],
["6", "gnadesh", "KLM", "c", "10", "null"]]
columns = ['ID', 'NAME', 'college', 'metric', 'x', 'y']
dataframe = spark.createDataFrame(data, columns)
实际产量
+---+-------+-------+------+----+-----+
| ID| NAME|college|metric| x | y |
+---+-------+-------+------+----+----+
| 1| Amit| DU| I| 8 | 6 |
| 2| Mohit| DU| I| 4 | 2 |
| 3| rohith| BHU| I| 5 | 3 |
| 4|sridevi| LPU| I| 1 | 6 |
| 1| sravan| KLMP| M| 2 | 4 |
| 5|gnanesh| IIT| M|null| 8 |
| 6|gnadesh| KLM| c| 10 |null|
+---+-------+-------+------+----+----+
期望的输出
+---+-------+-------+------+----+-----+
| ID| NAME|college|metric| x | y |
+---+-------+-------+------+----+----+
| 1| Amit| DU| I| 8 | 6 |
| 2| Mohit| DU| I| 4 | 2 |
| 3| rohith| BHU| I| 5 | 3 |
| 4|sridevi| LPU| I| 1 | 6 |
| 1| sravan| KLMP| M| 2 | 4 |
| 5|gnanesh| IIT| M| x | 8 |
| 6|gnadesh| KLM| c| 10 | x |
+---+-------+-------+------+----+----+
我试过这段代码,但我不工作 带字符串,但只带数字
data = data.fillna({'y':'x'})
【问题讨论】:
-
检查
null是否写成字符串?如果是,则使用when().otherwise()
标签: pyspark data-cleaning data-wrangling