pyspark-df-cleaner

Making life easier. This package is used for cleaning Pyspark dataframes. The module will be extended in the future.

It currently consists of three main features:

Removing leading zeros from column -> e.g. Turns "0000F45" into "F45"
Casting int/long column to date -> e.g. Turns int/long column into Pyspark DateType()
keep_alphanumeric_string -> e.g. Turns "444-555-666" into "444555666"

Should you have any suggestions for additional features, just let me know.

Release files for sparkcleaner 1.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for sparkcleaner 1.1.1
File	Size	Uploaded
sparkcleaner-1.1.1.tar.gz	4.7 kB	Jan 20, 2022	Details

Table of built distributions (wheels) for sparkcleaner 1.1.1
File	Interpreter	ABI	Platform	Reset
sparkcleaner-1.1.1-py3-none-any.whl 5.7 kB Jan 20, 2022	Python 3	none	any	Details

Total release size: 10.4 kB

Download URL	sparkcleaner-1.1.1.tar.gz
Size	4.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`9d7df9a0ec700b491878867a74e7615e4fed1295e07e588df091c691eb1734c5`
BLAKE2b-256 checksum How to use checksums	`623904169a021c3c8dc56e1a7edb8854cc2495c300fb1a20287b218588474bf9`
Upload date	Jan 20, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1`

Download URL	sparkcleaner-1.1.1-py3-none-any.whl
Size	5.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c05fbb31ad9d53b19a71ad74786b38c498f16c50025a83c3f7fe0cbbc1da43d3`
BLAKE2b-256 checksum How to use checksums	`93ae587f78cd2c4e5140fa20da6ff2067ccc672723642fdbee0466552eadcb63`
Upload date	Jan 20, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1`