各国家用户消费分布

import numpy as npimport pandas as pdimport matplotlib.pyplot as pltdata = {    '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 npimport pandas as pdimport matplotlib.pyplot as pltdata = {    '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 tablefig, 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 npimport pandas as pdimport matplotlib.pyplot as pltdata = {"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()