StringIndexer pyspark

df_i = spark.createDataFrame([
    ("a", 2.0),
    ("c", 1.0),
    ("b", 2.0),    
    ("a", 1.0),
    ("a", 0.0),   
    ("c", 1.0)
], ["categoryIndex", "categoryIndex2"])
stringID = StringIndexer(inputCol="categoryIndex",outputCol="categoryIndex2")
indexer = stringID.fit(df_i)
df_i = indexer.transform(df_i)
df_i.show()

Similar codes

0 vote111 views1 answer
How to convert user integer input to string in python
Python
0 vote156 views1 answer
You are trying to add a non-nullable field without a default
Python
21 votes179 views3 answers
Python ceiling division
Python
0 vote150 views1 answer
Get list of users django
Python
26 votes153 views3 answers
Check if variable is empty python
Python
0 vote185 views2 answers
Sqlalchemy function for default value for column
Python
3 votes145 views1 answer
Comparing two dataframe columns
Python
2 votes144 views1 answer
Jupyter clear cell output programmatically
Python
0 vote166 views1 answer
Python catch print
Python
4 votes150 views1 answer
Python random true false
Python