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- Pyspark: explode json in column to multiple columns
Pyspark: explode json in column to multiple columns Asked 7 years ago Modified 3 months ago Viewed 86k times
- PySpark: multiple conditions in when clause - Stack Overflow
when in pyspark multiple conditions can be built using (for and) and | (for or) Note:In pyspark t is important to enclose every expressions within parenthesis () that combine to form the condition
- Manually create a pyspark dataframe - Stack Overflow
Manually create a pyspark dataframe Asked 5 years, 9 months ago Modified 1 year ago Viewed 207k times
- Show distinct column values in pyspark dataframe - Stack Overflow
With pyspark dataframe, how do you do the equivalent of Pandas df['col'] unique() I want to list out all the unique values in a pyspark dataframe column Not the SQL type way (registertemplate the
- spark dataframe drop duplicates and keep first - Stack Overflow
2 I just did something perhaps similar to what you guys need, using drop_duplicates pyspark Situation is this I have 2 dataframes (coming from 2 files) which are exactly same except 2 columns file_date (file date extracted from the file name) and data_date (row date stamp)
- How to check if spark dataframe is empty? - Stack Overflow
4 On PySpark, you can also use this bool(df head(1)) to obtain a True of False value It returns False if the dataframe contains no rows
- Pyspark: display a spark data frame in a table format
Pyspark: display a spark data frame in a table format Asked 8 years, 10 months ago Modified 1 year, 11 months ago Viewed 407k times
- How to create a copy of a dataframe in pyspark? - Stack Overflow
To create a Deep copy of a PySpark DataFrame, you can use the rdd method to extract the data as an RDD, and then create a new DataFrame from the RDD df_deep_copied = spark createDataFrame(df_original rdd map(lambda x: x), schema=df_original schema) Note: This method can be memory-intensive, so use it judiciously
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