Question

The name of my dataframe is transactions. What code can I use in seaborn to delete values in my data that are negative values? The name of this column is Purchases and I want to use the expression Purchases >= 0 in my code.

Answer 1

To delete negative values from the 'Purchases' column, apply the filter 'transactions = transactions[transactions['Purchases'] >= 0]'. Seaborn does not handle data manipulation, so the Pandas library is used to clean the data before visualization.

Step-by-step explanation:

To remove negative values from the 'Purchases' column in your 'transactions' dataframe using Seaborn, you will first have to clean your dataset before you can visualize it with Seaborn. Seaborn is a visualization library and does not offer functions to directly manipulate dataframes. Therefore, you should use Pandas, which is typically used alongside Seaborn for data manipulation. You can use the following code snippet:

transactions = transactions[transactions['Purchases'] >= 0]

This code filters out the rows where the 'Purchases' column has negative values, effectively deleting those rows from the 'transactions' dataframe. After cleaning your data with this code, you can proceed to create visualizations using Seaborn with the cleaned dataframe.To delete negative values from a column in a dataframe using seaborn, you first need to filter the dataframe based on your condition. Seaborn is primarily used for visualizations, so you might want to consider using pandas to handle data manipulation. Here's an example: