pandas画箱型图

箱型图一

参考此链接
https://www.cnblogs.com/wwxbi/p/9032248.html

#各国家用户消费分布
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
 
data = {
    'China': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2500],
    'America': [1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100],
    'Britain': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000],
    "Russia": [800, 1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900]
}
df = pd.DataFrame(data)
 
# df.plot.box(title="Consumer spending in each country", vert=False)
df.plot.box(title="Consumer spending in each country")
 #加格子线
plt.grid(linestyle="--", alpha=0.3)
plt.show()

箱型图二

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
 
data = {
    'China': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2500],
    'America': [1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100],
    'Britain': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000],
    "Russia": [800, 1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900]
}
df = pd.DataFrame(data)
 
from pandas.plotting import table
#fig, ax = plt.subplots(1,3),其中参数1和3分别代表子图的行数和列数 
fig, ax = plt.subplots(1, 1)
#round() 方法返回浮点数x的四舍五入值。，保留2位
table(ax, np.round(df.describe(), 2),
      #位置放在右上角
      loc='upper right',
      # colWidths 表格宽度
      colWidths=[0.1, 0.1, 0.1, 0.1]
      )
#画箱型图
df.plot.box(title="Consumer spending in each country",
            ax=ax,
            ylim=(750, 3000))
 
plt.grid(linestyle="--", alpha=0.3)
plt.show()

箱型图三

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
 
data = {"gender": [1, 0, 1, 0, 1, 0, 1, 0, 1, 0],
        'China': [1000, 1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2500],
        'America': [1200, 1300, 1400, 1500, 1600, 1700, 1800, 1900, 2000, 2100]
        }
df = pd.DataFrame(data)
 
# df.boxplot(column=["China", "America"], by="gender",vert=False)
df.boxplot(column=["China", "America"], by="gender")
 
plt.grid(linestyle="--", alpha=0.3)
plt.show()