Return the first n rows.
This function exhibits the same behavior as df[:n], returning the first n rows based on position. It is useful for quickly checking if your object has the right type of data in it.
When n is positive, it returns the first n rows. For n equal to 0, it returns an empty object. When n is negative, it returns all rows except the last |n| rows, mirroring the behavior of df[:n].
If n is larger than the number of rows, this function returns all rows.
Number of rows to select.
The first n rows of the caller object.
Examples
>>> df = pd.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
For negative values of n
>>> df.head(-3)
animal
0 alligator
1 bee
2 falcon
3 lion
4 monkey
5 parrot
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