Metadata-Version: 2.1
Name: confplot
Version: 0.1.0
Summary: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Home-page: https://github.com/fcakyon/confplot
Author: Fatih Cagatay Akyon
License: UNKNOWN
Description: # Plot Confusion Matrix in Python
        
        Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
        
        This module lets you plot a pretty looking confusion matrix from a np matrix or from a prediction results and actual labels.
        
        Example plot:
        
        ![alt text](screenshots/conf_matrix_plot.png)
        
        ## Getting started
        
        ### Installation
        
        ```console
        pip install confplot
        ```
        
        ### Usage
        
        ## Plot confusion matrix from matrix
        
        ```python
        # import package
        import confplot
        
        # assume you have a confusion matrix array like this
        array = np.array(
            [[13,  0,  1,  0,  2,  0],
             [ 0, 50,  2,  0, 10,  0],
             [ 0, 13, 16,  0,  0,  3],
             [ 0,  0,  0, 13,  1,  0],
             [ 0, 40,  0,  1, 15,  0],
             [ 0,  0,  0,  0,  0, 20]]
        )
        
        # convert it to a pandas dataframe
        df_cm = DataFrame(array, index=range(1, 7), columns=range(1, 7))
        
        # create and save confusion matrix plot as "cm_plot.png"
        confplot.plot_confusion_matrix_from_matrix(df_cm, outfule="cm_plot.png")
        ```
        
        ## Plot confusion matrix from data
        ```python
        # import package
        import confplot
        
        # assume you have 1D y_true (actual values) and y_pred (predictions) arrays
        y_true = ...
        y_pred = ...
        
        # arange targetclass names if you want
        columns = ["ahududu", "ananas", "armut", "avokado", "ayva"]
        
        # create and save confusion matrix plot as "cm_plot.png"
        confplot.plot_confusion_matrix_from_data(
            y_true,
            y_pred,
            columns,
            outfule="cm_plot.png"
        )
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
