将增长百分比放在Matplotlib中的条形图之上

时间:2019-03-13 14:37:49

标签: python pandas matplotlib

我有一个条形图,其中有来自8个不同建筑物的数据,数据按年份分开,我试图将上一年经历过的每个建筑物的增长放在条形顶部图表。

我目前写的是这个

n_groups = 8

numbers_2017 = (122,96,42,23,23,22,0,0)

numbers_2018 = (284,224,122,52,41,24,3,1)


fig, ax = plt.subplots(figsize=(15, 10))

index = np.arange(n_groups)
bar_width = 0.35


events2017 = plt.bar(index, numbers_2017, bar_width,
                 alpha=0.7,
                 color='#fec615',
                 label='2017')

events2018 = plt.bar(index + bar_width, numbers_2018, bar_width,
                 alpha=0.7,
                 color='#044a05',
                 label='2018')

labels = ("8 specific buildings passed as strings")

labels = [ '\n'.join(wrap(l, 15)) for l in labels ]

plt.ylabel('Total Number of Events', fontsize=18, fontweight='bold', color = 'white')

plt.title('Number of Events per Building By Year\n', fontsize=20, fontweight='bold', color = 'white')

plt.xticks(index + bar_width / 2)

plt.yticks(color = 'white', fontsize=12)

ax.set_xticklabels((labels),fontsize=12, fontweight='bold', color = 'white')

plt.legend(loc='best', fontsize='xx-large')

plt.tight_layout()
plt.show()

通过类似的问题,他们中的许多人将总数划分为所有小节,而在这种情况下,我只是试图将正(或负)增长百分比置于最近的一年(2018年)之上。

我发现了一个出色的示例online,但是它确实如我之前解释的那样,将图表中的百分比分开:

totals = []

# find the values and append to list
for i in ax.patches:
    totals.append(i.get_height())

# set individual bar lables using above list
total = sum(totals)

# set individual bar lables using above list
for i in ax.patches:
    # get_x pulls left or right; get_height pushes up or down
    ax.text(i.get_x()-.03, i.get_height()+.5, \
            str(round((i.get_height()/total)*100, 1))+'%', fontsize=15,
                color='dimgrey')

请让我知道我是否可以列出任何有帮助的示例或图片,如果这是重复的,请立即将我发送给(相关)原件,我可以关闭此问题,谢谢!< / p>

1 个答案:

答案 0 :(得分:1)

我认为您用给出的第二部分代码自己给出了答案。 您唯一要做的就是将ax更改为您想要上面文本的对象,本例中为events2018

totals = []

for start, end in zip(events2017.patches, events2018.patches):
    if start.get_height() != 0:
        totals.append( (end.get_height() - start.get_height())/start.get_height() * 100)
    else:
        totals.append("NaN")

# set individual bar lables using above list
for ind, i in enumerate(events2018.patches):
    # get_x pulls left or right; get_height pushes up or down
    if totals[ind] != "NaN":
        plt.text(i.get_x(), i.get_height()+.5, \
            str(round((totals[ind]), 1))+'%', fontsize=15,
                color='dimgrey')
    else: 
        plt.text(i.get_x(), i.get_height()+.5, \
                 totals[ind], fontsize=15, color='dimgrey')