I am reading data from csv files which has about 50 columns, few of the columns(4 to 5) contain text data with non-ASCII characters and special characters.
df = spark.read.csv(path, header=True, schema=availSchema)
I am trying to remove all the non-Ascii and special characters and keep only English characters, and I tried to do it as below
df = df['textcolumn'].str.encode('ascii', 'ignore').str.decode('ascii')
There are no spaces in my column name. I receive an error
TypeError: 'Column' object is not callable
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<command-1486957561378215> in <module>
----> 1 InvFilteredDF = InvFilteredDF['SearchResultDescription'].str.encode('ascii', 'ignore').str.decode('ascii')
TypeError: 'Column' object is not callable
Is there an alternative to accomplish this, appreciate any help with this.
This should work.
First creating a temporary example dataframe:
df = spark.createDataFrame([
    (0, "This is Spark"),
    (1, "I wish Java could use case classes"),
    (2, "Data science is  cool"),
    (3, "This is aSA")
], ["id", "words"])
df.show()
Output
+---+--------------------+
| id|               words|
+---+--------------------+
|  0|       This is Spark|
|  1|I wish Java could...|
|  2|Data science is  ...|
|  3|      This is aSA|
+---+--------------------+
Now to write a UDF because those functions that you use cannot be directly performed on a column type and you will get the Column object not callable error
Solution
from pyspark.sql.functions import udf
def ascii_ignore(x):
    return x.encode('ascii', 'ignore').decode('ascii')
ascii_udf = udf(ascii_ignore)
df.withColumn("foo", ascii_udf('words')).show()
Output
+---+--------------------+--------------------+
| id|               words|                 foo|
+---+--------------------+--------------------+
|  0|       This is Spark|       This is Spark|
|  1|I wish Java could...|I wish Java could...|
|  2|Data science is  ...|Data science is  ...|
|  3|      This is aSA|         This is aSA|
+---+--------------------+--------------------+
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