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281 def generate_bar_chart(chart_data, bottoms=None, bar_width=0.4, labels=[], orientation='vertical'): 282 """ 283 Creates a bar chart for revenue using chart_data. 284 """ 285 fig, ax = plt.subplots(figsize=(12, 6)) 286 287 # Get the revenue data from the ValOp objects. 288 indices = np.arange(len(chart_data)) 289 290 # Plot. 291 with sb.axes_style('whitegrid'): 292 if bottoms is None: 293 if orientation == 'horizontal': 294 ax.barh(indices, chart_data, height=bar_width, color=PALETTE) 295 plt.yticks(indices, labels, rotation=0) 296 ax.set_xticklabels(['{:,}'.format(int(x)) for x in ax.get_xticks().tolist()]) # Comma separator for y-axis tick labels. 297 else: 298 ax.bar(indices, chart_data, width=bar_width, color=PALETTE) 299 plt.xticks(indices, labels, rotation=0) 300 ax.set_yticklabels(['{:,}'.format(int(x)) for x in ax.get_yticks().tolist()]) # Comma separator for y-axis tick labels. 301 else: 302 if orientation == 'horizontal': 303 ax.barh(indices, chart_data, left=bottoms, height=bar_width, color=PALETTE) 304 plt.yticks(indices, labels, rotation=0) 305 ax.set_xticklabels(['{:,}'.format(int(x)) for x in ax.get_xticks().tolist()]) # Comma separator for y-axis tick labels. 306 # ax.set_xlim(0, max(chart_data)) 307 else: 308 ax.bar(indices, chart_data, bottom=bottoms, width=bar_width, color=PALETTE) 309 plt.xticks(indices, labels, rotation=0) 310 ax.set_yticklabels(['{:,}'.format(int(x)) for x in ax.get_yticks().tolist()]) # Comma separator for y-axis tick labels. 311 # ax.set_ylim(0, max(chart_data)) 312 313 # sb.despine(offset=10, trim=True) 314 315 return fig, ax