如何显示多个字典的matplotlib条形图中每列的总计数？

Question

我的代码：

import numpy as np

import matplotlib.pyplot as plt

#sample data

ME_Requests = {'John Doe': 47, 'Amanda Doe': 27, 'Maria Doe': 26}

non_ME_Requests = {'John Doe': 105, 'Amanda Doe': 64, 'Maria Doe': 48}

month="Apr-2020"

X = np.arange(len(ME_Requests))

ax = plt.subplot(111)

ax.bar(X, ME_Requests.values(), width=0.2, align='center')

ax.bar(X-0.2, non_ME_Requests.values(), width=0.2, align='center')

ax.legend(('ME_Requests','non_ME_Requests'))

plt.xticks(X, ME_Requests.keys())

plt.title("Emails Closed per team member in {}".format(month) , fontsize=17)

plt.savefig('img.png')

plt.show()

我目前的条形图：

期望的输出：

我正在尝试以下操作：

#sample data

ME_Requests = {'John Doe': 47, 'Amanda Doe': 27, 'Maria Doe': 26}

non_ME_Requests = {'John Doe': 105, 'Amanda Doe': 64, 'Maria Doe': 48}

month="Apr-2020"

x = np.arange(len(month))  # the label locations

width = 0.35  # the width of the bars

fig, ax = plt.subplots()

rects1 = ax.bar(X, ME_Requests.values(), width=0.2, align='center')

rects2 = ax.bar(X-0.2, non_ME_Requests.values(), width=0.2, align='center')

# Add some text for labels, title and custom x-axis tick labels, etc.

ax.set_ylabel('# Requests')

ax.set_title("Emails Closed per team member in {}".format(month) , fontsize=17)

ax.set_xticks(X, ME_Requests.keys())

ax.set_xticklabels(month)

ax.legend(('ME_Requests','non_ME_Requests'))

def autolabel(rects):

    """Attach a text label above each bar in *rects*, displaying its height."""

    for rect in rects:

        height = rect.get_height()

        ax.annotate('{}'.format(height),

                    xy=(rect.get_x() + rect.get_width() / 2, height),

                    xytext=(0, 3),  # 3 points vertical offset

                    textcoords="offset points",

                    ha='center', va='bottom')

autolabel(rects1)

autolabel(rects2)

fig.tight_layout()

plt.show()

但是存在一个问题，因为它不会显示用户名（John Doe 等），而是显示“p”或“r”等。请参见下文：

有人可以帮我解决这个问题吗？提前致谢！

Answer 1

ax.set_xticklabels(month)应替换为 ax.set_xticklabels(ME_Requests.keys()).要将标签放在条形之间，您可以减去width/2左侧X条形的标签，并添加width/2右侧X条形的标签。ax.tick_params(axis='x', length=0)可以使用去除刻度线。import numpy as npimport matplotlib.pyplot as plt# sample dataME_Requests = {'John Doe': 47, 'Amanda Doe': 27, 'Maria Doe': 26}non_ME_Requests = {'John Doe': 105, 'Amanda Doe': 64, 'Maria Doe': 48}month = "Apr-2020"X = np.arange(len(ME_Requests))fig, ax = plt.subplots()rects1 = ax.bar(X + 0.1, ME_Requests.values(), width=0.2, align='center')rects2 = ax.bar(X - 0.1, non_ME_Requests.values(), width=0.2, align='center')ax.legend(('ME_Requests', 'non_ME_Requests'))ax.set_xticks(X)ax.set_xticklabels(ME_Requests.keys())ax.set_title(f"Emails Closed per team member in {month}", fontsize=17)ax.tick_params(axis='x', length=0)def autolabel(rects):    """Attach a text label above each bar in *rects*, displaying its height."""    for rect in rects:        height = rect.get_height()        ax.annotate(f'{height:.0f}',                    xy=(rect.get_x() + rect.get_width() / 2, height),                    xytext=(0, 3),  # 3 points vertical offset                    textcoords="offset points",                    ha='center', va='bottom')autolabel(rects1)autolabel(rects2)fig.tight_layout()plt.show()