Viewing the Data
To view the first few rows of a dataset in Python, we can utilize the head()
function. This function accepts an integer as its argument, which specifies the number of rows to display (by default, it shows first 5 rows). Let's take a look at the first 10 rows of our dataset:
If we want to see the last few rows of a dataframe, we can use the tail()
function. It works similarly to the head()
function:
Another useful function for exploring dataframes is sample()
. This function fetches random records from a dataframe. By default, it retrieves a single random record unless specified otherwise.
Tarefa
We have a dataframe named frame
.
- We need to extract the first 10 rows from this dataframe.
- We need to retrieve the last 15 rows from this dataframe.
- We want to select a random sample of 12 rows from this dataframe.
Tudo estava claro?
Conteúdo do Curso
Pandas First Steps
2. Reading Files in Pandas
3. Analyzing the Data
Pandas First Steps
Viewing the Data
To view the first few rows of a dataset in Python, we can utilize the head()
function. This function accepts an integer as its argument, which specifies the number of rows to display (by default, it shows first 5 rows). Let's take a look at the first 10 rows of our dataset:
If we want to see the last few rows of a dataframe, we can use the tail()
function. It works similarly to the head()
function:
Another useful function for exploring dataframes is sample()
. This function fetches random records from a dataframe. By default, it retrieves a single random record unless specified otherwise.
Tarefa
We have a dataframe named frame
.
- We need to extract the first 10 rows from this dataframe.
- We need to retrieve the last 15 rows from this dataframe.
- We want to select a random sample of 12 rows from this dataframe.
Tudo estava claro?