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

 `FillWithMode`Transformasi memformat kolom sesuai dengan format nomor telepon yang Anda tentukan. Anda juga dapat menentukan logika tie-breaker, di mana beberapa nilai identik. Misalnya, pertimbangkan nilai-nilai berikut: `1 2 2 3 3 4` 

 ModeType `MINIMUM` penyebab `FillWithMode` mengembalikan 2 sebagai nilai mode. Jika ModeType adalah`MAXIMUM`, modenya adalah 3. Untuk`AVERAGE`, modenya adalah 2.5. 

## Contoh
<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>

 Output dari kode yang diberikan adalah: 

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

 `FillWithMode`Transformasi dari modul `awsglue.data\$1quality` diterapkan ke `input\$1df`. DataFrame Ini menggantikan nilai `null` di `source_column_1` kolom dengan nilai maksimum (`mode\$1type="maximum"`) dari nilai non-null di kolom itu. 

 Dalam hal ini, nilai maksimum dalam `source_column_1` kolom adalah `1055.123`. Oleh karena itu, nilai `null` di digantikan oleh `1055.123` dalam `source_column_1` output `df\$1output`. DataFrame 

## Metode
<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>

 `FillWithMode`Transformasi memformat kasus string dalam kolom. 
+ `source_column`— Nama kolom yang ada.
+ `mode_type`— Cara mengatasi nilai dasi dalam data. Nilai ini harus salah satu dari`MINIMUM`,`NONE`,`AVERAGE`, atau`MAXIMUM`. 

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

Warisan dari `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>

Warisan dari `GlueTransform` [name](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>

Warisan dari `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>

Warisan dari `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>

Warisan dari `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>

Warisan dari `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>

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