饼图的图例
Legend for a pie chart
我想创建一个带有标签和值的图例。
数据集包含此列
ID LETTER
2 C
26 C
40 C
63 D
83 E
139 C
141 E
145 C
148 E
156 E
我正在使用饼图:
from itertools import chain
from collections import Counter
import matplotlib.pyplot as plt
plt.figure(figsize=(16,8))
cts = Counter(chain.from_iterable(df.LETTER.str.split('|').values))
_ = plt.pie(cts.values(), labels=cts.keys(), autopct='%1.1f%%')
patches = cts.values()
labels = cts.keys()
sort_legend = True
if sort_legend:
patches,labels, dummy = zip(*sorted(zip(patches, labels, df.LETTER),
key=lambda x: x[2],
reverse=True))
plt.legend(cts.values(), labels=cts.keys(), loc='center left', bbox_to_anchor=(-0.1, 1.),
fontsize=8)
运行 上面的代码,我得到一个图例 table,它不包含任何值,只包含标签。我不想在饼图中有任何标签或值,而只在图例中。
你能告诉我如何修复代码吗?
谢谢
这是您期望的输出吗?我习惯用pandas,所以我用的是dataframe。我在参考代码中指定了获取的路径和标签。
import pandas as pd
import numpy as np
import io
data = '''
ID LETTER
2 C
26 C
40 C
63 O
83 N
139 C
141 O
145 C
148 N
156 N
'''
df = pd.read_csv(io.StringIO(data), delim_whitespace=True)
from itertools import chain
from collections import Counter
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(4,3),dpi=144)
ax = fig.add_subplot(111)
cts = df.LETTER.value_counts().to_frame()
percent = 100.*cts.LETTER / cts.LETTER.sum()
ax.pie(cts.LETTER)
patches = cts.index
labels = ['{0} - {1:1.2f} %'.format(i,j) for i,j in zip(cts.index, percent)]
sort_legend = True
if sort_legend:
patches,labels, dummy = zip(*sorted(zip(patches, labels, df.LETTER),
key=lambda x: x[2],
reverse=True))
plt.legend(patches, labels=labels, loc='center left', bbox_to_anchor=(-0.1, 1.), fontsize=8)
plt.show()
我想创建一个带有标签和值的图例。 数据集包含此列
ID LETTER
2 C
26 C
40 C
63 D
83 E
139 C
141 E
145 C
148 E
156 E
我正在使用饼图:
from itertools import chain
from collections import Counter
import matplotlib.pyplot as plt
plt.figure(figsize=(16,8))
cts = Counter(chain.from_iterable(df.LETTER.str.split('|').values))
_ = plt.pie(cts.values(), labels=cts.keys(), autopct='%1.1f%%')
patches = cts.values()
labels = cts.keys()
sort_legend = True
if sort_legend:
patches,labels, dummy = zip(*sorted(zip(patches, labels, df.LETTER),
key=lambda x: x[2],
reverse=True))
plt.legend(cts.values(), labels=cts.keys(), loc='center left', bbox_to_anchor=(-0.1, 1.),
fontsize=8)
运行 上面的代码,我得到一个图例 table,它不包含任何值,只包含标签。我不想在饼图中有任何标签或值,而只在图例中。 你能告诉我如何修复代码吗?
谢谢
这是您期望的输出吗?我习惯用pandas,所以我用的是dataframe。我在参考代码中指定了获取的路径和标签。
import pandas as pd
import numpy as np
import io
data = '''
ID LETTER
2 C
26 C
40 C
63 O
83 N
139 C
141 O
145 C
148 N
156 N
'''
df = pd.read_csv(io.StringIO(data), delim_whitespace=True)
from itertools import chain
from collections import Counter
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(4,3),dpi=144)
ax = fig.add_subplot(111)
cts = df.LETTER.value_counts().to_frame()
percent = 100.*cts.LETTER / cts.LETTER.sum()
ax.pie(cts.LETTER)
patches = cts.index
labels = ['{0} - {1:1.2f} %'.format(i,j) for i,j in zip(cts.index, percent)]
sort_legend = True
if sort_legend:
patches,labels, dummy = zip(*sorted(zip(patches, labels, df.LETTER),
key=lambda x: x[2],
reverse=True))
plt.legend(patches, labels=labels, loc='center left', bbox_to_anchor=(-0.1, 1.), fontsize=8)
plt.show()