从字典中绘制饼图

Question

我有一本字典：

{'DATE': 65,
 'ORG': 93,
 'PERSON': 62,
 'GPE': 18,
 'PRODUCT': 18,
 'FAC': 4,
 'CARDINAL': 50,
 'ORDINAL': 15,
 'NORP': 10,
 'MONEY': 3,
 'PERCENT': 2,
 'TIME': 5,
 'LOC': 5,
 'QUANTITY': 2}

我想要的只是将其绘制在饼图中，显示这些项目的百分比分布。我该如何绘制这个？？？

我在这里尝试了解决方案：尝试根据下面的数据创建饼图和条形图

所以我使用在那里发布的代码作为解决方案：

amount_of_TP_ner_tags # this is the dictionary I want to plot. see above

# dont use values inside a list as column values for a dataframe
browser2 = {}
[browser2.update({key : val[0]}) for key, val in amount_of_TP_ner_tags.items()]

x = pd.Series(browser2)
y = pd.Series.sort_values(x)
z = pd.DataFrame(y)
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8,4))
# you need to specify which column of the dataframe you want to plot (here 0)
z.plot(y=0, kind = 'pie', ax = axes[0])
z.plot(kind = 'bar', ax = axes[1])
axes[0].set_aspect("equal") # make aspect equal (such that circle is not eliptic)
#place the legend at a decent position
axes[0].legend(loc=1, bbox_to_anchor= (1,0.2), fontsize=11)
plt.tight_layout()
plt.show()

但我收到一条错误消息：

TypeError                                 Traceback (most recent call last)
<ipython-input-258-7ca72d2d0ca4> in <module>
      1 # dont use values inside a list as column values for a dataframe
      2 browser2 = {}
----> 3 [browser2.update({key : val[0]}) for key, val in amount_of_TP_ner_tags.items()]
      4 
      5 x = pd.Series(browser2)

<ipython-input-258-7ca72d2d0ca4> in <listcomp>(.0)
      1 # dont use values inside a list as column values for a dataframe
      2 browser2 = {}
----> 3 [browser2.update({key : val[0]}) for key, val in amount_of_TP_ner_tags.items()]
      4 
      5 x = pd.Series(browser2)

TypeError: 'int' object is not subscriptable

那么我该如何绘制这个呢？

Answer 1

最简单的方法是使用matplotlib 饼图

import matplotlib.pyplot as plt

your_data = {'DATE': 65,
 'ORG': 93,
 'PERSON': 62,
 'GPE': 18,
 'PRODUCT': 18,
 'FAC': 4,
 'CARDINAL': 50,
 'ORDINAL': 15,
 'NORP': 10,
 'MONEY': 3,
 'PERCENT': 2,
 'TIME': 5,
 'LOC': 5,
 'QUANTITY': 2}

# Data to plot
labels = []
sizes = []

for x, y in your_data.items():
    labels.append(x)
    sizes.append(y)

# Plot
plt.pie(sizes, labels=labels)

plt.axis('equal')
plt.show()

Answer 2

这很容易

Step1：从字典中提取标签和值

# Get the Keys and store them in a list
labels = list(yourData.keys())

# Get the Values and store them in a list
values = list(yourData.values())

Step2：简单调用 的matplotlib.pyplotpie方法。

import matplotlib.pyplot as plt

plt.pie(values, labels=labels)
plt.show()

你会很高兴去的。