I come from pandas background and am used to reading data from CSV files into a dataframe and then simply changing the column names to something useful using the simple command:
df.columns = new_column_name_list
However, the same doesn't work in…
I prefer Python over Scala. But, as Spark is natively written in Scala, I was expecting my code to run faster in the Scala than the Python version for obvious reasons.
With that assumption, I thought to learn & write the Scala version of some very…
I want to add a column in a DataFrame with some arbitrary value (that is the same for each row). I get an error when I use withColumn as follows:
dt.withColumn('new_column',…
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 then SQL query for distinct values).
Also I don't need…
I installed Spark using the AWS EC2 guide and I can launch the program fine using the bin/pyspark script to get to the spark prompt and can also do the Quick Start quide successfully.
However, I cannot for the life of me figure out how to stop all…
I have a Spark DataFrame (using PySpark 1.5.1) and would like to add a new column.
I've tried the following without any success:
type(randomed_hours) # => list
# Create in Python and transform to RDD
new_col = pd.DataFrame(randomed_hours,…
I'm trying to filter a PySpark dataframe that has None as a row value:
df.select('dt_mvmt').distinct().collect()
[Row(dt_mvmt=u'2016-03-27'),
Row(dt_mvmt=u'2016-03-28'),
Row(dt_mvmt=u'2016-03-29'),
Row(dt_mvmt=None),
…
I work on a dataframe with two column, mvv and count.
+---+-----+
|mvv|count|
+---+-----+
| 1 | 5 |
| 2 | 9 |
| 3 | 3 |
| 4 | 1 |
i would like to obtain two list containing mvv values and count value. Something like
mvv = [1,2,3,4]
count =…
Right now, I have to use df.count > 0 to check if the DataFrame is empty or not. But it is kind of inefficient. Is there any better way to do that?
PS: I want to check if it's empty so that I only save the DataFrame if it's not empty
I am trying to find out the size/shape of a DataFrame in PySpark. I do not see a single function that can do this.
In Python, I can do this:
data.shape()
Is there a similar function in PySpark? This is my current solution, but I am looking for an…
I have a dataframe with column as String.
I wanted to change the column type to Double type in PySpark.
Following is the way, I did:
toDoublefunc = UserDefinedFunction(lambda x: x,DoubleType())
changedTypedf =…
So as I know in Spark Dataframe, that for multiple columns can have the same name as shown in below dataframe snapshot:
[
Row(a=107831, f=SparseVector(5, {0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0}), a=107831, f=SparseVector(5, {0: 0.0, 1: 0.0, 2: 0.0,…
I'm using PySpark (Python 2.7.9/Spark 1.3.1) and have a dataframe GroupObject which I need to filter & sort in the descending order. Trying to achieve it via this piece of code.
group_by_dataframe.count().filter("`count` >= 10").sort('count',…
I have a running Spark application where it occupies all the cores where my other applications won't be allocated any resource.
I did some quick research and people suggested using YARN kill or /bin/spark-class to kill the command. However, I am…