for vehicle in sorted_dict: group_names.append(vehicle) y_values.append(sorted_dict[vehicle]) ##################################### # begin the matplotlib section ##################################### # create the figure and chart fig = pylab.figure(figsize=settings.figsize) ax = fig.add_subplot(1,1,1) # create manual index for the causes, this is the x axis N = len(y_values) ind = range(N) # bind the data to the graphic ax.bar(ind, y_values, facecolor=settings.bar_color, width=0.8, align='center') # configure the labels ax.set_ylabel(y_label, fontsize=settings.font_size) ax.set_title(title, fontstyle='oblique', fontsize=settings.font_size) ax.set_xticks(ind) ax.set_xticklabels(group_names) for tick in ax.xaxis.get_major_ticks(): tick.label1.set_fontsize(settings.font_size_labels) fig.autofmt_xdate() # kick it off! utils.kick_it_off("mode")
for vehicle in sorted_dict: group_names.append(vehicle) y_values.append(sorted_dict[vehicle]) ##################################### # begin the matplotlib section ##################################### # create the figure and chart fig = pylab.figure(figsize=settings.figsize) ax = fig.add_subplot(1,1,1) # create manual index for the causes, this is the x axis N = len(y_values) ind = range(N) # bind the data to the graphic ax.bar(ind, y_values, facecolor=settings.bar_color, width=0.8, align='center') # configure the labels ax.set_ylabel(y_label, fontsize=settings.font_size) ax.set_title(title, fontstyle='oblique', fontsize=settings.font_size) ax.set_xticks(ind) ax.set_xticklabels(group_names) for tick in ax.xaxis.get_major_ticks(): tick.label1.set_fontsize(settings.font_size_labels) fig.autofmt_xdate() # kick it off! utils.kick_it_off("vehicle_type")
for vehicle in sorted_dict: group_names.append(vehicle) y_values.append(sorted_dict[vehicle]) ##################################### # begin the matplotlib section ##################################### # create the figure and chart fig = pylab.figure(figsize=settings.figsize) ax = fig.add_subplot(1,1,1) # create manual index for the causes, this is the x axis N = len(y_values) ind = range(N) # bind the data to the graphic ax.bar(ind, y_values, facecolor=settings.bar_color, width=0.8, align='center') # configure the labels ax.set_ylabel(y_label, fontsize=settings.font_size) ax.set_title(title, fontstyle='oblique', fontsize=settings.font_size) ax.set_xticks(ind) ax.set_xticklabels(group_names) for tick in ax.xaxis.get_major_ticks(): tick.label1.set_fontsize(settings.font_size_labels) fig.autofmt_xdate() # kick it off! utils.kick_it_off("mode_injured")
for vehicle in sorted_dict: group_names.append(vehicle) y_values.append(sorted_dict[vehicle]) ##################################### # begin the matplotlib section ##################################### # create the figure and chart fig = pylab.figure(figsize=settings.figsize) ax = fig.add_subplot(1,1,1) # create manual index for the causes, this is the x axis N = len(y_values) ind = range(N) # bind the data to the graphic ax.bar(ind, y_values, facecolor=settings.bar_color, width=0.8, align='center') # configure the labels ax.set_ylabel(y_label, fontsize=settings.font_size) ax.set_title(title, fontstyle='oblique', fontsize=settings.font_size) ax.set_xticks(ind) ax.set_xticklabels(group_names) for tick in ax.xaxis.get_major_ticks(): tick.label1.set_fontsize(settings.font_size_labels) fig.autofmt_xdate() # kick it off! utils.kick_it_off("mode_fatal")
group_names.append(item[0]) ##################################### # begin the matplotlib section ##################################### # create the figure and chart fig = pylab.figure(figsize=settings.figsize) ax = fig.add_subplot(1,1,1) # create manual index for the causes, this is the x axis N = len(y_values) ind = range(N) # bind the data to the graphic ax.bar(ind, y_values, facecolor=settings.bar_color, width=0.8, align='center') # configure the labels ax.set_ylabel(y_label, fontsize=settings.font_size) ax.set_title(title, fontstyle='oblique', fontsize=settings.font_size) ax.set_xticks(ind) ax.set_xticklabels(group_names) for tick in ax.xaxis.get_major_ticks(): tick.label1.set_fontsize(settings.font_size_labels) fig.autofmt_xdate() # kick it off! utils.kick_it_off("violations")
group_names.append(vehicle) y_values.append(sorted_dict[vehicle]) ##################################### # begin the matplotlib section ##################################### # create the figure and chart fig = pylab.figure(figsize=settings.figsize) ax = fig.add_subplot(1,1,1) # create manual index for the causes, this is the x axis N = len(y_values) ind = range(N) # bind the data to the graphic ax.bar(ind, y_values, facecolor=settings.bar_color, width=0.8, align='center') # configure the labels ax.set_ylabel(y_label, fontsize=settings.font_size) ax.set_title(title, fontstyle='oblique', fontsize=settings.font_size) ax.set_xticks(ind) ax.set_xticklabels(group_names) for tick in ax.xaxis.get_major_ticks(): tick.label1.set_fontsize(settings.font_size_labels) fig.autofmt_xdate() # kick it off! utils.kick_it_off("cause")