# spark_dataframe_tools
[](https://opensource.org/licenses/Apache-2.0)
[](pyup)
[](pyup)
[](codecov)
spark_dataframe_tools is a Python library that implements styles in the Dataframe
## Installation
The code is packaged for PyPI, so that the installation consists in running:
```sh
pip install spark-dataframe-tools --user --upgrade
```
## Usage
```sh
import spark_dataframe_tools
```
```sh
from pyspark.sql.types import StructType,StructField, StringType, IntegerType
data2 = [("James","","Smith","36636","M",3000),
("Michael","Rose","","40288","M",4000),
("Robert","","Williams","42114","M",4000),
("Maria","Anne","Jones","39192","F",4000),
("Jen","Mary","Brown","","F",-1)
]
schema = StructType([ \
StructField("firstname",StringType(),True), \
StructField("middlename",StringType(),True), \
StructField("lastname",StringType(),True), \
StructField("id", StringType(), True), \
StructField("gender", StringType(), True), \
StructField("salary", IntegerType(), True) \
])
df = spark.createDataFrame(data=data2, schema=schema)
```
## Pandas
```sh
df_pandas = df.toPandas()
df_pandas.show2()
```
## Spark
```sh
# Dataframe template table
df.show2()
# Dataframe memory usage
df.size()
```
## License
[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).
## New features v1.0
## BugFix
- choco install visualcpp-build-tools
## Reference
- Jonathan Quiza [github](https://github.com/jonaqp).
- Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).
Raw data
{
"_id": null,
"home_page": "https://github.com/jonaqp/spark_dataframe_tools/",
"name": "spark-dataframe-tools",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "spark, dataframe",
"author": "Jonathan Quiza",
"author_email": "jony327@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/d5/7d/277fa006b9fe0e7c2d1eee131030f7041c6811a2e6abf470fcc8027cc3d2/spark_dataframe_tools-0.7.2.tar.gz",
"platform": null,
"description": "# spark_dataframe_tools\r\n\r\n[](https://opensource.org/licenses/Apache-2.0)\r\n[](pyup)\r\n[](pyup)\r\n[](codecov)\r\n\r\nspark_dataframe_tools is a Python library that implements styles in the Dataframe\r\n\r\n## Installation\r\n\r\nThe code is packaged for PyPI, so that the installation consists in running:\r\n\r\n```sh\r\npip install spark-dataframe-tools --user --upgrade\r\n```\r\n\r\n## Usage\r\n```sh\r\nimport spark_dataframe_tools \r\n```\r\n\r\n```sh\r\nfrom pyspark.sql.types import StructType,StructField, StringType, IntegerType\r\ndata2 = [(\"James\",\"\",\"Smith\",\"36636\",\"M\",3000),\r\n (\"Michael\",\"Rose\",\"\",\"40288\",\"M\",4000),\r\n (\"Robert\",\"\",\"Williams\",\"42114\",\"M\",4000),\r\n (\"Maria\",\"Anne\",\"Jones\",\"39192\",\"F\",4000),\r\n (\"Jen\",\"Mary\",\"Brown\",\"\",\"F\",-1)\r\n ]\r\n\r\nschema = StructType([ \\\r\n StructField(\"firstname\",StringType(),True), \\\r\n StructField(\"middlename\",StringType(),True), \\\r\n StructField(\"lastname\",StringType(),True), \\\r\n StructField(\"id\", StringType(), True), \\\r\n StructField(\"gender\", StringType(), True), \\\r\n StructField(\"salary\", IntegerType(), True) \\\r\n ])\r\n \r\ndf = spark.createDataFrame(data=data2, schema=schema)\r\n```\r\n\r\n## Pandas\r\n\r\n```sh\r\ndf_pandas = df.toPandas()\r\ndf_pandas.show2()\r\n```\r\n\r\n## Spark\r\n\r\n```sh\r\n# Dataframe template table\r\ndf.show2()\r\n\r\n# Dataframe memory usage\r\ndf.size()\r\n```\r\n\r\n\r\n\r\n## License\r\n\r\n[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).\r\n\r\n## New features v1.0\r\n\r\n## BugFix\r\n\r\n- choco install visualcpp-build-tools\r\n\r\n## Reference\r\n\r\n- Jonathan Quiza [github](https://github.com/jonaqp).\r\n- Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).\r\n\r\n\r\n",
"bugtrack_url": null,
"license": null,
"summary": "spark_dataframe_tools",
"version": "0.7.2",
"project_urls": {
"Download": "https://github.com/jonaqp/spark_dataframe_tools/archive/main.zip",
"Homepage": "https://github.com/jonaqp/spark_dataframe_tools/"
},
"split_keywords": [
"spark",
" dataframe"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "3504485f9cda7ab1a638e6693caa616ab813fef15eeb96d6c32b9e790f02ccbc",
"md5": "36c92ee212bc743c2082ca7c696e5933",
"sha256": "97c4a87bc0da1363b40126874c5939e55369ceaa6541ae44a936ffe953c74600"
},
"downloads": -1,
"filename": "spark_dataframe_tools-0.7.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "36c92ee212bc743c2082ca7c696e5933",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 12450,
"upload_time": "2024-12-30T03:28:31",
"upload_time_iso_8601": "2024-12-30T03:28:31.729276Z",
"url": "https://files.pythonhosted.org/packages/35/04/485f9cda7ab1a638e6693caa616ab813fef15eeb96d6c32b9e790f02ccbc/spark_dataframe_tools-0.7.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d57d277fa006b9fe0e7c2d1eee131030f7041c6811a2e6abf470fcc8027cc3d2",
"md5": "95804743578f8287592bae0727217841",
"sha256": "963bdeb273e984465f6c41c9d53907583b50d7bb792ca3f07b4511abb388fdf8"
},
"downloads": -1,
"filename": "spark_dataframe_tools-0.7.2.tar.gz",
"has_sig": false,
"md5_digest": "95804743578f8287592bae0727217841",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 10965,
"upload_time": "2024-12-30T03:28:34",
"upload_time_iso_8601": "2024-12-30T03:28:34.139131Z",
"url": "https://files.pythonhosted.org/packages/d5/7d/277fa006b9fe0e7c2d1eee131030f7041c6811a2e6abf470fcc8027cc3d2/spark_dataframe_tools-0.7.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-30 03:28:34",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "jonaqp",
"github_project": "spark_dataframe_tools",
"github_not_found": true,
"lcname": "spark-dataframe-tools"
}
JSON
