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

 `MonthName` 변환은 날짜를 나타내는 문자열에서 월의 이름이 포함된 새 열을 생성합니다.

## 예제
<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
```

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

 출력은 다음과 같습니다.

```
```
+------------+------------+
| 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 |
+------------+------------+
```
```

 `MonthName` 변환은 `source\$1column`을 `"column\$11"`로, `target\$1column`을 `"target\$1column"`으로 가져옵니다. `"column\$11"` 열의 날짜/시간 문자열에서 월 이름을 추출하여 `"target\$1column"` 열에 배치하려고 합니다. 날짜/시간 문자열이 인식할 수 없는 형식이거나 구문 분석할 수 없는 경우 `"target\$1column"` 값이 `null`로 설정됩니다.

 변환은 '20-12-2018', '12/20/2018', '02/02/2009', '2013-02-21 06:35:45.658505', 'August 02 2009'와 같은 다양한 날짜/시간 형식에서 월 이름을 성공적으로 추출합니다.

## 메서드
<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)
+ [이름](#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=None, value=None)
<a name="aws-glue-api-pyspark-transforms-MonthName-__call__"></a>

 `MonthName` 변환은 날짜를 나타내는 문자열에서 월의 이름이 포함된 새 열을 생성합니다.
+ `source_column` – 기존 열의 이름입니다.
+ `value` - 평가할 문자열.
+ `target_column` - 새로 생성된 열의 이름.

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

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

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

`GlueTransform` [name](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-name)에서 상속됩니다.

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

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

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

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

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

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

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

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

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

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