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

 A transformação `MonthName` cria uma nova coluna, contendo o nome do mês, a partir de uma string que representa uma data. 

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

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

sc = SparkContext()
spark = SparkSession(sc)

spark.conf.set("spark.sql.legacy.timeParserPolicy", "LEGACY")

input_df = spark.createDataFrame(
    [
        ("20-2018-12",),
        ("2018-20-12",),
        ("20182012",),
        ("12202018",),
        ("20122018",),
        ("20-12-2018",),
        ("12/20/2018",),
        ("02/02/02",),
        ("02 02 2009",),
        ("02/02/2009",),
        ("August/02/2009",),
        ("02/june/2009",),
        ("02/2020/june",),
        ("2013-02-21 06:35:45.658505",),
        ("August 02 2009",),
        ("2013/02/21",),
        (None,),
    ],
    ["column_1"],
)

try:
    df_output = datetime_functions.MonthName.apply(
        data_frame=input_df,
        spark_context=sc,
        source_column="column_1",
        target_column="target_column"
    )
    df_output.show()
except:
    print("Unexpected Error happened ")
    raise
```

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

 A saída será: 

```
```
+------------+------------+
| column_1|target_column|
+------------+------------+
|20-2018-12 | December |
|2018-20-12 | null |
| 20182012| null |
| 12202018| null |
| 20122018| null |
|20-12-2018 | December |
|12/20/2018 | December |
| 02/02/02 | February |
|02 02 2009 | February |
|02/02/2009 | February |
|August/02/2009| August |
|02/june/2009| null |
|02/2020/june| null |
|2013-02-21 06:35:45.658505| February |
|August 02 2009| August |
| 2013/02/21| February |
| null | null |
+------------+------------+
```
```

 A transformação `MonthName` usa a "source\$1column" como `"column\$11"` e a "target\$1column" como `"target\$1column"`. Ela tenta extrair o nome do mês das sequências de data e hora na coluna `"column\$11"` e coloca na coluna `"target\$1column"`. Se a string de data e hora estiver em um formato não reconhecido ou não puder ser analisada, o valor `"target\$1column"` será definido como "null". 

 A transformação extrai com sucesso o nome do mês de vários formatos de data e hora, como "20-12-2018", "12/20/2018", "02/02/2009", "2013-02-21 06:35:45.658505" e "02 de agosto de 2009". 

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

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

 A transformação `MonthName` cria uma nova coluna, contendo o nome do mês, a partir de uma string que representa uma data. 
+ `source_column`: o nome de uma coluna existente.
+ `value`: uma sequência de caracteres para avaliar.
+ `target_column`: um nome para a coluna recém-criada.

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

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