# spark_webdat_tools
[](https://opensource.org/licenses/Apache-2.0)
[](pyup)
[](pyup)
[](codecov)
spark_webdat_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-webdat-tools --user --upgrade
```
## Usage
```sh
import spark_webdat_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/).
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