Conteúdo do Curso
Pandas First Steps
Pandas First Steps
Viewing the Data
To view the first few rows of a dataset in Python, we can utilize the head()
method. 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()
method. It works similarly to the head()
method:
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.
Obrigado pelo seu feedback!
Viewing the Data
To view the first few rows of a dataset in Python, we can utilize the head()
method. 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()
method. It works similarly to the head()
method:
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.
Obrigado pelo seu feedback!
Viewing the Data
To view the first few rows of a dataset in Python, we can utilize the head()
method. 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()
method. It works similarly to the head()
method:
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.
Obrigado pelo seu feedback!
To view the first few rows of a dataset in Python, we can utilize the head()
method. 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()
method. It works similarly to the head()
method:
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.