# Classe FillWithMode
<a name="aws-glue-api-pyspark-transforms-FillWithMode"></a>

 A transformação `FillWithMode` formata uma coluna de acordo com o formato do número de telefone especificado. Você também pode especificar a lógica de desempate, em que alguns dos valores são idênticos. Por exemplo, considere os seguintes dados de entrada: `1 2 2 3 3 4` 

 Um modeType de `MINIMUM` faz com que `FillWithMode` retorne 2 como o valor do modo. Se modeType for `MAXIMUM`, o modo será 3. Para `AVERAGE`, o modo é 2,5. 

## Exemplo
<a name="pyspark-FillWithMode-examples"></a>

```
from awsglue.context import *
from pyspark.sql import SparkSession
from awsgluedi.transforms import *

sc = SparkContext()
spark = SparkSession(sc)

input_df = spark.createDataFrame(
    [
        (105.111, 13.12),
        (1055.123, 13.12),
        (None, 13.12),
        (13.12, 13.12),
        (None, 13.12),
    ],
    ["source_column_1", "source_column_2"],
)

try:
    df_output = data_quality.FillWithMode.apply(
        data_frame=input_df,
        spark_context=sc,
        source_column="source_column_1",
        mode_type="MAXIMUM"
    )
    df_output.show()    
except:
    print("Unexpected Error happened ")
    raise
```

## Output
<a name="pyspark-FillWithMode-output"></a>

 A saída do código será: 

```
```
+---------------+---------------+
|source_column_1|source_column_2|
+---------------+---------------+
| 105.111| 13.12|
| 1055.123| 13.12|
| 1055.123| 13.12|
| 13.12| 13.12|
| 1055.123| 13.12|
+---------------+---------------+
```
```

 A transformação `FillWithMode` do módulo “awsglue.data\$1quality” é aplicada ao DataFrame “input\$1df”. Ela substitui os valores “null” na coluna `source_column_1` pelo valor máximo (“mode\$1type="maximum"”) dos valores não nulos nessa coluna. 

 Nesse caso, o valor máximo na coluna `source_column_1` é “1055.123”. Portanto, os valores “null” em `source_column_1` são substituídos por “1055.123” no DataFrame de saída “df\$1output”. 

## Métodos
<a name="aws-glue-api-pyspark-transforms-FillWithMode-_methods"></a>
+ [\$1\$1call\$1\$1](#aws-glue-api-pyspark-transforms-FillWithMode-__call__)
+ [apply](#aws-glue-api-crawler-pyspark-transforms-FillWithMode-apply)
+ [name](#aws-glue-api-crawler-pyspark-transforms-FillWithMode-name)
+ [describeArgs](#aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeArgs)
+ [describeReturn](#aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeReturn)
+ [describeTransform](#aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeTransform)
+ [describeErrors](#aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeErrors)
+ [describe](#aws-glue-api-crawler-pyspark-transforms-FillWithMode-describe)

## \$1\$1call\$1\$1(spark\$1context, data\$1frame, source\$1column, mode\$1type)
<a name="aws-glue-api-pyspark-transforms-FillWithMode-__call__"></a>

 A transformação `FillWithMode` formata o caso das cadeias de caracteres em uma coluna. 
+ `source_column`: o nome de uma coluna existente.
+ `mode_type`: como resolver valores de empate nos dados. Esse valor deve ser um entre `MINIMUM`, `NONE`, `AVERAGE` ou `MAXIMUM`. 

## aplicar(cls, \$1args, \$1\$1kwargs)
<a name="aws-glue-api-crawler-pyspark-transforms-FillWithMode-apply"></a>

Herdado de `GlueTransform` [apply](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-apply).

## name(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-FillWithMode-name"></a>

Herdado de `GlueTransform` [nome](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-name).

## describeArgs(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeArgs"></a>

Herdado de `GlueTransform` [describeArgs](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeArgs).

## describeReturn(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeReturn"></a>

Herdado de `GlueTransform` [describeReturn](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeReturn).

## describeTransform(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeTransform"></a>

Herdado de `GlueTransform` [describeTransform](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeTransform).

## describeErrors(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-FillWithMode-describeErrors"></a>

Herdado de `GlueTransform` [describeErrors](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describeErrors).

## describe(cls)
<a name="aws-glue-api-crawler-pyspark-transforms-FillWithMode-describe"></a>

Herdado de `GlueTransform` [describe](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describe).