I have a column filled with a bunch of states' initials as strings. My goal is to how the count of each state in such list.
For example: (("TX":3),("NJ":2)) should be the output when there are two occurrences of "TX" and "NJ".
I'm fairly new to…
I have seen this question earlier here and I have took lessons from that. However I am not sure why I am getting an error when I feel it should work.
I want to create a new column in existing Spark DataFrame by some rules. Here is what I wrote.…
I'm trying to make sense of where you need to use a lit value, which is defined as a literal column in the documentation.
Take for example this udf, which returns the index of a SQL column array:
def find_index(column, index):
return…
How can I get a random row from a PySpark DataFrame? I only see the method sample() which takes a fraction as parameter. Setting this fraction to 1/numberOfRows leads to random results, where sometimes I won't get any row.
On RDD there is a method…
I'm using Spark 1.3.1.
I am trying to view the values of a Spark dataframe column in Python. With a Spark dataframe, I can do df.collect() to view the contents of the dataframe, but there is no such method for a Spark dataframe column as best as I…
The case is really simple, I need to convert a python list into data frame with following code
from pyspark.sql.types import StructType
from pyspark.sql.types import StructField
from pyspark.sql.types import StringType, IntegerType
schema =…
I have a largeDataFrame (multiple columns and billions of rows) and a smallDataFrame (single column and 10,000 rows).
I'd like to filter all the rows from the largeDataFrame whenever the some_identifier column in the largeDataFrame matches one of…
I just got access to spark 2.0; I have been using spark 1.6.1 up until this point. Can someone please help me set up a sparkSession using pyspark (python)? I know that the scala examples available online are similar (here), but I was hoping for a…
As a simplified example, I have a dataframe "df" with columns "col1,col2" and I want to compute a row-wise maximum after applying a function to each column :
def f(x):
return (x+1)
max_udf=udf(lambda x,y: max(x,y), IntegerType())
f_udf=udf(f,…
I'm having a problem with using Python on Spark. My application has some dependencies, such as numpy, pandas, astropy, etc. I cannot use virtualenv to create an environment with all dependencies, since the nodes on the cluster do not have any common…
I am trying to overwrite a Spark dataframe using the following option in PySpark but I am not successful
spark_df.write.format('com.databricks.spark.csv').option("header", "true",mode='overwrite').save(self.output_file_path)
the mode=overwrite…
After creating a Spark DataFrame from a CSV file, I would like to trim a column. I've tried:
df = df.withColumn("Product", df.Product.strip())
df is my data frame, Product is a column in my table.
But I get the error:
Column object is not…
I'm using PySpark and I have a Spark dataframe with a bunch of numeric columns. I want to add a column that is the sum of all the other columns.
Suppose my dataframe had columns "a", "b", and "c". I know I can do this:
df.withColumn('total_col',…
Not sure why I'm having a difficult time with this, it seems so simple considering it's fairly easy to do in R or pandas. I wanted to avoid using pandas though since I'm dealing with a lot of data, and I believe toPandas() loads all the data into…