October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How to do it...
The following are the steps to implement the required logic:
- Read the tpr and fpr data for all ROC plots from the corresponding Excel files:
fpr_logreg = pd.read_excel('ROC_Curves.xlsx', 'fpr_logreg')tpr_logreg = pd.read_excel('ROC_Curves.xlsx', 'tpr_logreg')fpr_KNN = pd.read_excel('ROC_Curves.xlsx', 'fpr_KNN')tpr_KNN = pd.read_excel('ROC_Curves.xlsx', 'tpr_KNN')fpr_MLP = pd.read_excel('ROC_Curves.xlsx', 'fpr_MLP')tpr_MLP = pd.read_excel('ROC_Curves.xlsx', 'tpr_MLP')fpr_SGD = pd.read_excel('ROC_Curves.xlsx', 'fpr_SGD')tpr_SGD = pd.read_excel('ROC_Curves.xlsx', 'tpr_SGD')fpr_GNB = pd.read_excel('ROC_Curves.xlsx', 'fpr_GNB')tpr_GNB = pd.read_excel('ROC_Curves.xlsx', 'tpr_GNB')fpr_svc = pd.read_excel('ROC_Curves.xlsx', 'fpr_svc') ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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