typedschema
This is minimally intrusive library to type or annotate pyspark data frames.
There are existing projects which try to change how you interact with pyspark, but this is not the goal of this library. Goals:
- Create a simple way to define a schema for a pyspark DataFrame.
- Supply some utility functions to test if the DataFrame adheres to a predefined schema.
- Enable schema column autocompletion in your editor
- Re-use existing stuff, such as
StructField, from pyspark
For full documentation see typedschema documentation
Metadata
Release files for pyspark-typedschema 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pyspark_typedschema-0.0.6.tar.gz | 28.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyspark_typedschema-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.5 kB
Release files / pyspark_typedschema-0.0.6.tar.gz
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| Size | 28.4 kB |
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