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Python画树状图

2020年07月20日  | 移动技术网IT编程  | 我要评论 
import matplotlib.pyplot as plt
import squarify

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

squarify.plot(sizes=[13,22,35,5], label=["group A", "group B", "group C", "group D"], alpha=.7 )
plt.axis('off')
plt.show()

import matplotlib.pyplot as plt
import squarify
import pandas as pd
df = pd.DataFrame({'nb_people':[8,3,4,2], 'group':["group A", "group B", "group C", "group D"] })

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

squarify.plot(sizes=df['nb_people'], label=df['group'], alpha=.8 )
plt.axis('off')
plt.show()

 

import matplotlib.pyplot as plt
import squarify
import pandas as pd

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

squarify.plot(sizes=[13,22,35,5], label=["group A", "group B", "group C", "group D"], color=["red","green","blue", "grey"], alpha=.4 )
plt.axis('off')
plt.show()

 

import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
import squarify    

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

my_values=[i**3 for i in range(1,100)]

cmap = matplotlib.cm.Blues
mini=min(my_values)
maxi=max(my_values)
norm = matplotlib.colors.Normalize(vmin=mini, vmax=maxi)
colors = [cmap(norm(value)) for value in my_values]

squarify.plot(sizes=my_values, alpha=.8, color=colors )
plt.axis('off')
plt.show()

 

 

import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
import squarify    

import pandas as pd
df = pd.DataFrame({
    'group':["group A", "group A", "group A", "group A", "group B", "group B", "group C",  "group C",  "group C"],
    'subgroup':[1,2,3,4,1,2,1,2,3], 
    'value':[13,5,22,12,11,7,3,1,23]
    })

mycolors=list()
all_pal=[matplotlib.cm.Blues, matplotlib.cm.Greens, matplotlib.cm.Oranges]
num=-1
for i in df.group.unique():
    num+=1
    cmap = all_pal[num]
    tmp=df[df.group==i]
    mini=min(tmp.value)
    maxi=max(tmp.value)
    norm = matplotlib.colors.Normalize(vmin=mini-12, vmax=maxi+12)
    colors = [cmap(norm(value)) for value in tmp.value]
    mycolors=mycolors+colors
    
squarify.plot(sizes=df['value'], alpha=.8, color=mycolors )
plt.axis('off')
plt.show()

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

本文地址：https://blog.csdn.net/weixin_41869644/article/details/107450277

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