error_analysis_dashboard.py
def scatter_view(self):
        '''
        create a scatter plot using the filtered dataframe (output of self.filter_data_rows) and where x and y axes are
        dataframe columns set by the user via self.x and self.y
        :return: a Plotly scatter plot wrapped by Panel package
        '''
        data = self.filter_data_rows()
        array_x = data[self.X].to_numpy()
        array_y = data[self.Y].to_numpy()
        fig = utils.plot_scatter(x=array_x, y=array_y,
                                 add_unit_line=True, add_R2=True,
                                 layout_kwargs=dict(title='', xaxis_title=self.X, yaxis_title=self.Y))
        return pn.pane.Plotly(fig)

        create a scatter plot using the filtered dataframe (output of self.filter_data_rows) and where x and y axes are
        dataframe columns set by the user via self.x and self.y
        :return: a Plotly scatter plot wrapped by Panel package
        
create a scatter plot using the filtered dataframe (output of self.filter_data_rows) and where x and y axes are
dataframe columns set by the user via self.x and self.y
create a scatter plot using the filtered dataframe ( output of self . filter_data_rows ) and where x and y axes are dataframe columns set by the user via self . x and self . y
def scatter_view(self):
        data = self.filter_data_rows()
        array_x = data[self.X].to_numpy()
        array_y = data[self.Y].to_numpy()
        fig = utils.plot_scatter(x=array_x, y=array_y,
                                 add_unit_line=True, add_R2=True,
                                 layout_kwargs=dict(title='', xaxis_title=self.X, yaxis_title=self.Y))
        return pn.pane.Plotly(fig)
def scatter_view ( self ) : data = self . filter_data_rows ( ) array_x = data [ self . X ] . to_numpy ( ) array_y = data [ self . Y ] . to_numpy ( ) fig = utils . plot_scatter ( x = array_x , y = array_y , add_unit_line = True , add_R2 = True , layout_kwargs = dict ( title = '' , xaxis_title = self . X , yaxis_title = self . Y ) ) return pn . pane . Plotly ( fig )
create a scatter plot using the filtered dataframe (output of self.filter_data_rows) and where x and y axes are
dataframe columns set by the user via self.x and self.y
create a scatter plot using the filtered dataframe ( output of self . filter_data_rows ) and where x and y axes are dataframe columns set by the user via self . x and self . y
'''
        create a scatter plot using the filtered dataframe (output of self.filter_data_rows) and where x and y axes are
        dataframe columns set by the user via self.x and self.y
        :return: a Plotly scatter plot wrapped by Panel package
        '''
a Plotly scatter plot wrapped by Panel package
a Plotly scatter plot wrapped by Panel package
self