向條形圖添加群組標籤
在Matplotlib 中,向條形圖添加群組標籤可以增強其可讀性並提供清晰的視覺表示資料結構。這是實現此目的的自訂解決方案:
# Custom function to group data for bar chart def mk_groups(data): newdata = data.items() thisgroup = [] groups = [] for key, value in newdata: newgroups = mk_groups(value) if newgroups is None: thisgroup.append((key, value)) else: thisgroup.append((key, len(newgroups[-1]))) if groups: groups = [g + n for n, g in zip(newgroups, groups)] else: groups = newgroups return [thisgroup] + groups # Custom function to label group bars def label_group_bar(ax, data): groups = mk_groups(data) xy = groups.pop() x, y = zip(*xy) ly = len(y) xticks = range(1, ly + 1) ax.bar(xticks, y, align='center') ax.set_xticks(xticks) ax.set_xticklabels(x) ax.set_xlim(.5, ly + .5) ax.yaxis.grid(True) scale = 1. / ly for pos in xrange(ly + 1): # change xrange to range for python3 add_line(ax, pos * scale, -.1) ypos = -.2 while groups: group = groups.pop() pos = 0 for label, rpos in group: lxpos = (pos + .5 * rpos) * scale ax.text(lxpos, ypos, label, ha='center', transform=ax.transAxes) add_line(ax, pos * scale, ypos) pos += rpos add_line(ax, pos * scale, ypos) ypos -= .1 # Example usage data = {'Room A': {'Shelf 1': {'Milk': 10, 'Water': 20}, 'Shelf 2': {'Sugar': 5, 'Honey': 6} }, 'Room B': {'Shelf 1': {'Wheat': 4, 'Corn': 7}, 'Shelf 2': {'Chicken': 2, 'Cow': 1} } } fig = plt.figure() ax = fig.add_subplot(1, 1, 1) label_group_bar(ax, data) fig.subplots_adjust(bottom=0.3) # Save the plot to a file fig.savefig('labeled_group_bar_chart.png')
說明:
這種方法提供了一種在 Matplotlib 中向條形圖添加群組標籤的簡單方法,從而改進了資料視覺化和解釋。
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