Matplotlib 3.0 Cookbook

How to do it...

Here are the steps involved in plotting the desired graphs:

1. Read the data from Excel files into a list:

# Read the Data, two product test scores, and result 1 means accepted and 0 means rejectedscores_data = pd.read_csv('test_scores_results.txt',header=None)

2. Create a pandas DataFrame to easily split the data into different categories:

# Add columns labels to the datacolumns = ['Test1_Score', 'Test2_Score', 'Accepted']scores_data = np.array(scores_data)df = pd.DataFrame(data=scores_data, columns=columns)

3. Separate the data into accepted and rejected categories:

df_accepted = df[(df['Accepted'] == 1.0)]df_rejected = df[(df['Accepted'] == 0.0)]

4. Split the data into x and y coordinates for both accepted and rejected categories: ...