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

 `MonthName` 変換により、日付を表す文字列から、月の名前を含む新しい列が作成されます。

## 例
<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>

 出力は次のとおりです。

```
```
+------------+------------+
| 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` 変換では、「source\_column」を『column\_1』、「target\_column」を『target\_column』とします。「『column\_1』」列の日付/時刻文字列から月名を抽出し、「『target\_column』」列に配置します。日付/時刻文字列が認識されないフォーマットである、または解析できない場合、「『target\_column』」値は「null」に設定されます。

 変換は、「2018-12-20」、「2018/12/20」、「2009/02/02」、「2013-02-21 06:35:45.658505」、「2009 年 8 月 2 日」など、さまざまな日付/時刻フォーマットから月名を正常に抽出します。

## 方法
<a name="aws-glue-api-pyspark-transforms-MonthName-_methods"></a>
+ [\_\_call\_\_](#aws-glue-api-pyspark-transforms-MonthName-__call__)
+ [適用](#aws-glue-api-crawler-pyspark-transforms-MonthName-apply)
+ [名前](#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)
+ [説明](#aws-glue-api-crawler-pyspark-transforms-MonthName-describe)

## \_\_call\_\_(spark\_context, data\_frame, target\_column, source\_column=None, value=None)
<a name="aws-glue-api-pyspark-transforms-MonthName-__call__"></a>

 `MonthName` 変換により、日付を表す文字列から、月の名前を含む新しい列が作成されます。
+ `source_column` - 既存の列の名前。
+ `value` – 評価する文字列。
+ `target_column` – 新しく作成された列の名前。

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

継承元は `GlueTransform` [適用](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>

継承元は `GlueTransform` [名前](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>

継承元は `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>

継承元は `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>

継承元は `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>

継承元は `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>

継承元は `GlueTransform` [説明](aws-glue-api-crawler-pyspark-transforms-GlueTransform.md#aws-glue-api-crawler-pyspark-transforms-GlueTransform-describe)。