Python画圈图分布图

import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame([8,8,1,2], index=['a', 'b', 'c', 'd'], columns=['x'])
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
df.plot(kind='pie', subplots=True, figsize=(8, 8))
plt.show()

 

import pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame({'var1':[8,3,4,2], 'var2':[1,3,4,1]}, index=['a', 'b', 'c', 'd'] )
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
df.plot(kind='pie', subplots=True, figsize=(16,8))
plt.show()

import matplotlib.pyplot as plt

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

plt.pie(size)
plt.show()

 

import pandas
import matplotlib.pyplot as plt
from pandas.plotting import parallel_coordinates
import seaborn as sns
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

data = sns.load_dataset('iris')

parallel_coordinates(data, 'species', colormap=plt.get_cmap("Set2"))
plt.show()

 

from math import pi
import matplotlib.pyplot as plt

cat = ['Speed', 'Reliability', 'Comfort', 'Safety', 'Effieciency']
values = [90, 60, 65, 70, 40]

N = len(cat)

x_as = [n / float(N) * 2 * pi for n in range(N)]

ax = plt.subplot(111)

plt.xticks(x_as)

ax.plot(x_as, values, linewidth=1, linestyle='solid', zorder=3)
plt.show()

 

import matplotlib.pyplot as plt

my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

size_of_groups=[12,11,3,30]

plt.pie(size_of_groups)
my_circle=plt.Circle( (0,0), 0.7, color='white')
p=plt.gcf()
p.gca().add_artist(my_circle)

plt.show()

 

 

import matplotlib.pyplot as plt

my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.pie(size, labels=names, colors=['red','green','blue','skyblue'])
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

import matplotlib.pyplot as plt

my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.pie(size, labels=names, colors=['red','green'])
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

 

import matplotlib.pyplot as plt
from palettable.colorbrewer.qualitative import Pastel1_7
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.pie(size, labels=names, colors=Pastel1_7.hex_colors)
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

 

import matplotlib.pyplot as plt
from palettable.colorbrewer.qualitative import Pastel1_7
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.pie(size, labels=names, colors=['red','green','blue','skyblue'])
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

 

import matplotlib.pyplot as plt
from palettable.colorbrewer.qualitative import Pastel1_7
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.pie(size, labels=names, colors=['red','green'])
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

 

import matplotlib.pyplot as plt
from palettable.colorbrewer.qualitative import Pastel1_7
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.pie(size, labels=names, labeldistance=0.45)
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

 

import matplotlib.pyplot as plt
from palettable.colorbrewer.qualitative import Pastel1_7
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.rcParams['text.color'] = 'red'
plt.pie(size, labels=names)
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

 

import matplotlib.pyplot as plt
from palettable.colorbrewer.qualitative import Pastel1_7
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

my_circle=plt.Circle( (0,0), 0.7, color='white')

plt.pie(size, labels=names, wedgeprops = { 'linewidth' : 7, 'edgecolor' : 'white' })
p=plt.gcf()
p.gca().add_artist(my_circle)
plt.show()

 

import matplotlib.pyplot as plt

names='groupA', 'groupB', 'groupC', 'groupD',
size=[12,11,3,30]

fig = plt.figure()
fig.patch.set_facecolor('black')

my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

plt.rcParams['text.color'] = 'white'

my_circle=plt.Circle( (0,0), 0.7, color='black')

plt.pie(size, labels=names)
p=plt.gcf()
p.gca().add_artist(my_circle)

plt.show()

 

import matplotlib.pyplot as plt

my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)

group_names=['groupA', 'groupB', 'groupC']
group_size=[12,11,30]
subgroup_names=['A.1', 'A.2', 'A.3', 'B.1', 'B.2', 'C.1', 'C.2', 'C.3', 'C.4', 'C.5']
subgroup_size=[4,3,5,6,5,10,5,5,4,6]

a, b, c=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens]

fig, ax = plt.subplots()
ax.axis('equal')
mypie, _ = ax.pie(group_size, radius=1.3, labels=group_names, colors=[a(0.6), b(0.6), c(0.6)] )
plt.setp( mypie, width=0.3, edgecolor='white')

mypie2, _ = ax.pie(subgroup_size, radius=1.3-0.3, labels=subgroup_names, labeldistance=0.7, colors=[a(0.5), a(0.4), a(0.3), b(0.5), b(0.4), c(0.6), c(0.5), c(0.4), c(0.3), c(0.2)])
plt.setp( mypie2, width=0.4, edgecolor='white')
plt.margins(0,0)

plt.show()

 

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本文来自：https://github.com/holtzy/The-Python-Graph-Gallery/blob/master/PGG_notebook.py