#8 remove bar_chart - replaced by vertical_grouped_bar_chart()

rick.py

@@ -622,125 +622,6 @@ def multi_stacked_bar_chart(data, xlab, lab1, lab2, lab3, **kwargs):
         plt.yticks( fontname = font.normal, fontsize =10)
 
         return fig, ax
-
-    def bar_chart(data_in, xlab, ylab, horizontal=False, **kwargs):
-        """Creates a bar chart
-        
-        Parameters
-        -----------
-        data : dataframe
-            Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data
-        xlab : str
-            Label for the x axis.
-        ylab : str
-            Label for the y axis.
-        horizontal: bool, Alignment of bar_chart
-            True if horizontal else vertical 
-        xymax : int, optional, default is the max s value
-            The max value of the y axis
-        xymin : int, optional, default is 0
-            The minimum value of the x axis
-        precision : int, optional, default is -1
-            Decimal places in the annotations
-            
-        xyinc : int, optional
-            The increment of ticks on the x axis/y axis depending on horizontal bool value.
-        
-        Returns 
-        --------
-        fig
-            Matplotlib fig object
-        ax 
-            Matplotlib ax object
-            
-        """
-        func()
-        data = data_in.copy(deep=True)
-
-        data.columns = ['name', 'values1']
-
-        xymin = kwargs.get('xymin', 0)
-        xymax = kwargs.get('xymax', None)
-        precision = kwargs.get('precision', 0)
-
-        xymax_flag = True
-        if xymax == None:
-            xymax = data['values1'].max()
-            xymax_flag = False
-
-        delta = (xymax - xymin)/4
-        i = 0
-        while True:
-            if delta < 10:
-                break
-            delta /= 10
-            i += 1
-        xyinc = kwargs.get('xyinc', int(round(delta+1)*pow(10,i)))
-
-        if xymax_flag == True:
-            upper = xymax
-        else:
-            upper = int(4*xyinc+xymin)
-
-        ind = np.arange(len(data))
-
-        fig, ax = plt.subplots(dpi=450.0)
-        fig.set_size_inches(6.1, 4.2)
-#         fig.set_size_inches(6.1, len(data)*0.7)
-        ax.grid(color='k', linestyle='-', linewidth=0.25)
-        if(horizontal):
-            p2 = ax.barh(ind, data['values1'], 0.75, 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)
-            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')
-            if (ylab is not None):
-                ax.set_ylabel(ylab, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
-            plt.xticks(range(xymin,upper+int(0.1*xyinc), xyinc), fontname = font.normal, fontsize =10)
-            plt.yticks( fontname = font.normal, fontsize =10)
-        else:
-            p2 = ax.bar(ind, data['values1'], 1.0, align='center', color = colour.purple)
-            ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
-            ax.yaxis.grid(True)
-            ax.xaxis.grid(False)
-            ax.set_xticks(ind)
-            ax.set_ylim(0, upper)
-            ax.set_xticklabels(data['name'], rotation=0.0)
-            ax.set_ylabel(ylab, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
-            if (xlab is not None):
-                ax.set_xlabel(xlab, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
-            plt.yticks(range(xymin, upper+int(0.1*xyinc), xyinc), fontname = font.normal, fontsize =10)
-            plt.xticks( fontname = font.normal, fontsize =10)            
-
-
-        ax.set_facecolor('xkcd:white')
-        j=0
-
-        if precision < 1:
-            data['values1'] = data['values1'].astype(int)
-
-        j=0
-        if (horizontal == True and (precision != -1)):
-            for i in data['values1']:
-                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
-        elif (horizontal == False and (precision != -1)):
-            for i in data['values1']:
-                if i < 0.1*upper:
-                    ax.annotate(str(format(round(i, precision), ',')), xy=(j-0.15, i+0.015*upper), ha = 'left', color = 'k', fontname = font.normal, fontsize=10, rotation=90.)
-                else:
-                    ax.annotate(str(format(round(i, precision), ',')), xy=(j+0.15, i-0.06*upper), ha = 'right', color = 'w', fontname = font.normal, fontsize=10, rotation=90.)
-                j=j+1
-
-
-        return fig, ax
-
 
     def bar_chart_stacked_on_top(data_in, xlab, lab1, lab2, **kwargs):
         """Creates a stacked (not grouped) bar chart with 2 sets of data. Bars are plotted such that the max value of the 1st bar is the start of the 2nd bar