Pandas: Head and Tail - w3resource (2024)

FAQs

What is the purpose of the head () and tail () methods in Pandas? ›

The head() function in pandas displays the top rows of a DataFrame, while the tail() function shows the bottom rows. Both functions are used to get a quick overview of the data's structure and contents, making them essential tools for data exploration and analysis in Python.

Pandas DataFrame head() Method

Return the first 5 rows of the DataFrame.

head() . This will give you first 10 columns by default. You can specify number of columns you want to see as argument to . head() .

DataFrame. tail(n=5)[source] Return the last n rows. This function returns last n rows from the object based on position. It is useful for quickly verifying data, for example, after sorting or appending rows.

The head-to-tail graphical method of vector addition works for any number of vectors. It is also important to note that the resultant is independent of the order in which the vectors are added. Therefore, we could add the vectors in any order as illustrated in Figure 12 and we will still get the same solution.

Head and tail

To view a small sample of a Series or DataFrame object, use the head() and tail() methods. The default number of elements to display is five, but you may pass a custom number.

The first method is to use the tail() method, which returns the last N rows of a DataFrame. The second method is to use slicing notation df[-N:] to retrieve the last N rows of a DataFrame.

Syntax of the head() and tail() functions

Head(): Function which returns the first n rows of the dataset. Tail(): Function which returns the last n rows of the dataset.

Yes, you can get summary statistics of the Pandas dataframe by using the describe() method. Here's how it's done: You need to enable JavaScript to run this app. This method returns a new dataframe containing statistics such as count, mean, standard deviation, minimum, and maximum values for each column.

head(n) to get the first n rows of the DataFrame. It takes one optional argument n (number of rows you want to get from the start). By default n = 5, it return first 5 rows if value of n is not passed to the method.

What is the dropna() method used for? ›

Definition and Usage. The dropna() method removes the rows that contains NULL values.

The tail() method returns a specified number of last rows. The tail() method returns the last 5 rows if a number is not specified.

head() prints the indexes. dataframe. to_string(index=False,max_rows=10) prints the first 5 and last 5 rows.

DataFrame. tail(n) to get the last n rows of the DataFrame. It takes one optional argument n (number of rows you want to get from the end). By default n = 5, it return the last 5 rows if the value of n is not passed to the method.

The head function in Python displays the first five rows of the dataframe by default. It takes in a single parameter: the number of rows. We can use this parameter to display the number of rows of our choice.

head() The head() returns the first n rows for the object based on position. If your object has the right type of data in it, it is useful for quick testing. This method is used for returning top n (by default value 5) rows of a data frame or series.

Headers provide a name to each column in the DataFrame, making it easier to reference specific columns. They are essential for understanding the data by providing context. If your DataFrame doesn't have headers, or you want to change the existing ones, Pandas provides several methods to add or modify them.

The reason why the tail is born in a long way is said to be its remnant that the giant panda was a carnivore. The carnivore keeps the balance of the body with the tail when running chasing prey. Currently it is thought that bamboo staple food, its long tail degenerated.