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PySpark DataFrame | show method

Machine Learning
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PySpark
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PySpark DataFrame
schedule Jul 1, 2022
Last updated
local_offer PySpark
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PySpark DataFrame's show(~) method prints the rows of the DataFrame on the console.

Parameters

1. n | int | optional

The number of rows to show. By default, n=20.

2. truncate | boolean or int | optional

  • If True, then strings that are longer than 20 characters will be truncated.

  • If False, then whole strings will be shown.

  • If int, then strings that are longer than truncate will be truncated.

If truncation occurs, then the left part of the string is preserved. By default, truncate=True.

3. vertical | boolean | optional

If True, then the rows are printed with one line for each column value. By default, vertical=False.

Return Value

None.

Examples

Consider the following PySpark DataFrame:

columns = ["name", "age"]
data = [("Alex", 15), ("Bob", 20), ("Cathy", 25)]
df = spark.createDataFrame(data, columns)

Printing the first n rows of PySpark DataFrame

To print the first 20 rows of the PySpark DataFrame:

df.show() # n=20
+-----+---+
| name|age|
+-----+---+
| Alex| 15|
| Bob| 20|
|Cathy| 25|
+-----+---+

To print the first 2 rows of the DataFrame:

df.show(n=2)
+----+---+
|name|age|
+----+---+
|Alex| 15|
| Bob| 20|
+----+---+
only showing top 2 rows

Truncating strings in printed rows of PySpark DataFrame

To truncate strings that are longer than 2:

df.show(truncate=2)
+----+---+
|name|age|
+----+---+
| Al| 15|
| Bo| 20|
| Ca| 25|
+----+---+

Disabling truncation of strings in printed rows of PySpark DataFrame

To disable truncation of strings in printed rows:

df.show(truncate=False)
+-----+---+
|name |age|
+-----+---+
|Alex |15 |
|Bob |20 |
|Cathy|25 |
+-----+---+

Printing rows of PySpark DataFrame vertically

To print each column value in a separate line:

df.show(vertical=True)
-RECORD 0-----
name | Alex
age | 15
-RECORD 1-----
name | Bob
age | 20
-RECORD 2-----
name | Cathy
age | 25
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Published by Isshin Inada
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