Course Content
Pandas First Steps
Pandas First Steps
Viewing the Data
To view the first few rows of a dataset, we can utilize the head()
method. This method 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 method for exploring DataFrames is sample()
. This method fetches random records from a DataFrame. By default, it retrieves a single random record unless specified otherwise.
Swipe to start coding
You are given a DataFrame
named wine_data
.
- Extract the first 10 rows from this
DataFrame
and store the result in thefirst_lines
variable. - Retrieve the last 15 rows from this
DataFrame
and store the result in thelast_lines
variable. - Select a random sample of 12 rows from this
DataFrame
and store the result in therandom_rows
variable.
Solution
Thanks for your feedback!
Viewing the Data
To view the first few rows of a dataset, we can utilize the head()
method. This method 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 method for exploring DataFrames is sample()
. This method fetches random records from a DataFrame. By default, it retrieves a single random record unless specified otherwise.
Swipe to start coding
You are given a DataFrame
named wine_data
.
- Extract the first 10 rows from this
DataFrame
and store the result in thefirst_lines
variable. - Retrieve the last 15 rows from this
DataFrame
and store the result in thelast_lines
variable. - Select a random sample of 12 rows from this
DataFrame
and store the result in therandom_rows
variable.
Solution
Thanks for your feedback!