Python Pandas 箱线图的实现

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")

 

plt.grid(linestyle="--", alpha=0.3)

plt.show()

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, 1)

 

table(ax, np.round(df.describe(), 2),

   loc='upper right',

   colWidths=[0.1, 0.1, 0.1, 0.1]

   )

 

# df.plot.box(title="Consumer spending in each country", vert=False)

df.plot.box(title="Consumer spending in each country",

      ax=ax,

      ylim=(750, 3000))

 

plt.grid(linestyle="--", alpha=0.3)

plt.show()

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()

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