pyspark.pandas.DataFrame.head¶
-
DataFrame.head(n: int = 5) → pyspark.pandas.frame.DataFrame[source]¶ Return the first n rows.
This function returns the first n rows for the object based on position. It is useful for quickly testing if your object has the right type of data in it.
- Parameters
- nint, default 5
Number of rows to select.
- Returns
- obj_headsame type as caller
The first n rows of the caller object.
Examples
>>> df = ps.DataFrame({'animal':['alligator', 'bee', 'falcon', 'lion', ... 'monkey', 'parrot', 'shark', 'whale', 'zebra']}) >>> df animal 0 alligator 1 bee 2 falcon 3 lion 4 monkey 5 parrot 6 shark 7 whale 8 zebra
Viewing the first 5 lines
>>> df.head() animal 0 alligator 1 bee 2 falcon 3 lion 4 monkey
Viewing the first n lines (three in this case)
>>> df.head(3) animal 0 alligator 1 bee 2 falcon