各国家用户消费分布

import numpy as npimport pandas as pdimport 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 npimport pandas as pdimport 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 npimport pandas as pdimport 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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