#8 remove stacked_chart_quad - replaced by horizontal_grouped_bar_cha…

…rt()

rick.py

@@ -623,128 +623,6 @@ def multi_stacked_bar_chart(data, xlab, lab1, lab2, lab3, **kwargs):
 
         return fig, ax
 
-    def stacked_chart_quad(data_in, xlab, lab1, lab2, lab3, lab4, **kwargs):
-        """Creates a stacked bar chart comparing 4 sets of data
-        
-        Parameters
-        -----------
-        data : dataframe
-            Data for the stacked bar chart. The dataframe must have 5 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.
-        xlab : str
-            Label for the x axis.
-        lab1 : str
-            Label in the legend for the baseline
-        lab2 : str
-            Label in the legend fot the next data series
-        xmax : int, optional, default is the max s value
-            The max value of the y axis
-        xmin : int, optional, default is 0
-            The minimum value of the x axis
-        precision : int, optional, default is -1
-            Decimal places in the annotations
-        percent : boolean, optional, default is False
-            Whether the annotations should be formatted as percentages
-            
-        xinc : int, optional
-            The increment of ticks on the x axis.
-        
-        Returns 
-        --------
-        fig
-            Matplotlib fig object
-        ax 
-            Matplotlib ax object
-            
-        """
-
-        func()
-        data = data_in.copy(deep=True)
-
-        data.columns = ['name', 'values1', 'values2', 'values3', 'values4']
-
-        xmin = kwargs.get('xmin', 0)
-        xmax = kwargs.get('xmax', None)
-        precision = kwargs.get('precision', -1)
-        percent = kwargs.get('percent', False)
-
-        xmax_flag = True
-        if xmax == None:
-            xmax = int(max(data[['values1', 'values2', 'values3', 'values4']].max()))
-            xmax_flag = False
-
-        delta = (xmax - xmin)/4
-        i = 0
-        while True:
-            delta /= 10
-            i += 1
-            if delta < 10:
-                break
-        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
-
-        if xmax_flag == True:
-            upper = xmax
-        else:
-            upper = int(4*xinc+xmin)
-
-        ind = np.arange(len(data))
-        print(len(data))
-
-        fig, ax = plt.subplots()
-        fig.set_size_inches(6.1, len(data)*1.5)
-        ax.grid(color='k', linestyle='-', linewidth=0.25)
-
-        p1 = ax.barh(ind+0.6, data['values1'], 0.2, align='center', color = colour.green)
-        p2 = ax.barh(ind+0.4, data['values2'], 0.2, align='center', color = colour.blue)
-        p3 = ax.barh(ind+0.2, data['values3'], 0.2, align='center', color = colour.grey)
-        p4 = ax.barh(ind, data['values4'], 0.2, align='center', color=colour.purple)
-        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
-
-        ax.xaxis.grid(True)
-        ax.yaxis.grid(False)
-        ax.set_yticks(ind+0.6/2)
-        ax.set_xlim(0,upper)
-        ax.set_yticklabels(data['name'])
-        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
-
-        ax.set_facecolor('xkcd:white')
-
-
-        if precision < 1:
-            data[['values1', 'values2', 'values3', 'values4']] = data[['values1', 'values2', 'values3', 'values4']].astype(int)
-
-        j = 0.0
-        for k in range(4,0,-1):
-
-            for i in data[f'values{k}']:
-                if i < 0.1*upper:
-                    ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
-                else:
-                    ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
-                j=j+1
-            j = j-len(data[f'values{k}']) + 0.2
-
-
-        ax.legend((p1[0], p2[0], p3[0], p4[0]), (lab1, lab2, lab3, lab4), loc=4, frameon=False, prop=font.leg_font)
-        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
-        plt.yticks( fontname = font.normal, fontsize =10)
-
-        if percent == True:
-            j = 0.15 
-            data_yoy = data
-            for k in range(3,0,-1):
-                data_yoy[f'percent{k}'] = (data['values4']-data[f'values{k}'])*100/data[f'values{k}']
-                if k == 1:
-                    print(data_yoy)
-
-                for index, row in data_yoy.iterrows():
-                    ax.annotate(('+' if row[f'percent{k}'] > 0 else '')+str(format(int(round(row[f'percent{k}'],0)), ','))+'%', 
-                                xy=(max(row[['values1', 'values2', 'values3', 'values4']]) + (0.12 if row['values4'] < 0.1*upper else 0.03)*upper, j), color = 'k', fontname = font.normal, fontsize=10)
-                    j+=1
-                j = j-len(data_yoy) + 0.2
-
-
-        return fig, ax
-
     def bar_chart(data_in, xlab, ylab, horizontal=False, **kwargs):
         """Creates a bar chart