Summary
Sometimes when converting a Pandas DataFrame to a Spark DataFrame variables are not interpreted correctly
which can lead a programmer to have to type many lines of code and then provide the schema when building the
Spark DataFrame.
Additionally this is true for defining a Delta Table before loading your parquet files. This package contains
two functions aimed at creating these definitions which will hopefully cut down on a lot of typing and speed
up development time for the user.
Installation
pip install SparkSchemafy
Usage
from schemafy import make_spark_schema, make_delta_schema
Make a Spark DataFrame Schema from a Pandas DataFrame
make_spark_schema(str(spark.sql.DataFram().schema))
Make a delta table schema from parquet file
make_delta_schema('.parquet')
1 maintainer
Metadata
1 maintainer
Release files for SparkSchemafy 0.1.4
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Release files / SparkSchemafy-0.1.4.tar.gz
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