pyspark rename column
It is not possible to use withColumnRenamed . You can use toDF method though: data.toDF('x3', 'x4'). It is also possible to rename with simple select : from pyspark.sql.functions import col mapping = dict(zip(['x1', 'x2'],, It is not possible to use withColumnRenamed . You can use toDF method though: data.toDF('x3', 'x4'). It is also possible to rename with simple select : from pyspark.sql.functions import col mapping = dict(zip(['x1', 'x2'],
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 pyspark rename column 相關參考資料
python - How to change dataframe column names in pyspark? - Stack ...
Using withColumnRenamed, notice that this method allows you to "overwrite" the same column. oldColumns = data.schema.names newColumns = ["name", "age"] df = reduce(lambd... https://stackoverflow.com apache spark - PySpark - rename more than one column using ...
It is not possible to use withColumnRenamed . You can use toDF method though: data.toDF('x3', 'x4'). It is also possible to rename with simple select : from pyspark.sql.functions impo... https://stackoverflow.com PySpark - rename more than one column using ... - Stack Overflow
It is not possible to use withColumnRenamed . You can use toDF method though: data.toDF('x3', 'x4'). It is also possible to rename with simple select : from pyspark.sql.functions impo... https://stackoverflow.com aggregate functions - pyspark: new column name for an aggregated ...
Use columns not dict: >>> from pyspark.sql.functions import * >>> my_df.groupBy('id').agg(count("id").alias("some name"), max("money").alias(&q... https://stackoverflow.com apache spark - Dynamically rename multiple columns in PySpark ...
You can use something similar to this great solution from @zero323: df.toDF(*(c.replace('.', '_') for c in df.columns)). alternatively: from pyspark.sql.functions import col replaceme... https://stackoverflow.com python - pyspark assigning name to column agg output - Stack Overflow
Do you mean this? max_date = testdf.agg(sf.max(sf.col('date')).alias("newName")).collect(). As for a better way to access it. Not really. Collect brings a list of rows and you need ... https://stackoverflow.com renaming columns for pyspark dataframes aggregates - Stack Overflow
Although I still prefer dplyr syntax, this code snippet will do: import pyspark.sql.functions as sf df.groupBy("group")- .agg(sf.sum('money').alias('money'))- .show(100). It... https://stackoverflow.com |