Course Content
Pandas First Steps
Pandas First Steps
Dropping Null Values
If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna()
method.
Let's give it a try.
Task
You need to eliminate rows containing empty cells. To achieve this, use the dropna()
method.
Task
You need to eliminate rows containing empty cells. To achieve this, use the dropna()
method.
Everything was clear?
Dropping Null Values
If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna()
method.
Let's give it a try.
Task
You need to eliminate rows containing empty cells. To achieve this, use the dropna()
method.
Task
You need to eliminate rows containing empty cells. To achieve this, use the dropna()
method.
Everything was clear?
Dropping Null Values
If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna()
method.
Let's give it a try.
Task
You need to eliminate rows containing empty cells. To achieve this, use the dropna()
method.
Task
You need to eliminate rows containing empty cells. To achieve this, use the dropna()
method.
Everything was clear?
If our dataset has rows with null values, we should consider removing them. In pandas, this can be achieved using the dropna()
method.
Let's give it a try.
Task
You need to eliminate rows containing empty cells. To achieve this, use the dropna()
method.