数据集:
Year Country gdpMillion
1980-01-01 Canada 273854
1980-01-01 China 191149
1980-01-01 United Kingdom 564948
1980-01-01 India 186325
1980-01-01 Japan 1105390
1980-01-01 Singapore 11896.25678
1980-01-01 Thailand 32353.44073
1980-01-01 United States 2857310
1981-01-01 Canada 306215
1981-01-01 China 195866
1981-01-01 United Kingdom 540766
1981-01-01 India 193491
1981-01-01 Japan 1218990
1981-01-01 Singapore 14175.22884
1981-01-01 Thailand 34846.10786
1981-01-01 United States 3207040
1982-01-01 Canada 313507
1982-01-01 China 205090
1982-01-01 United Kingdom 515049
1982-01-01 India 200715
1982-01-01 Japan 1134520
1982-01-01 Singapore 16084.25238
1982-01-01 Thailand 36589.79786
1982-01-01 United States 3343790
1983-01-01 Canada 340548
1983-01-01 China 230687
1983-01-01 United Kingdom 489618
1983-01-01 India 218262
1983-01-01 Japan 1243320
1983-01-01 Singapore 17784.11215
1983-01-01 Thailand 40042.82624
1983-01-01 United States 3634040
1984-01-01 Canada 355373
1984-01-01 China 259947
1984-01-01 United Kingdom 461487
1984-01-01 India 212158
1984-01-01 Japan 1318380
1984-01-01 Singapore 19749.3611
1984-01-01 Thailand 41797.59296
1984-01-01 United States 4037610
1985-01-01 Canada 364756
1985-01-01 China 309488
1985-01-01 United Kingdom 489285
1985-01-01 India 232512
1985-01-01 Japan 1398890
1985-01-01 Singapore 19156.53275
1985-01-01 Thailand 38900.69271
1985-01-01 United States 4338980
当我将数据导入Jupyter笔记本时,gdpMillion列中的数字变成了科学符号。如何让它们恢复正常? 当我画折线图时,我希望在每一行的末尾都有一个国家的名字
这是我的线条图的代码
import seaborn as sns
sns.lineplot(x='Year', y='gdpMillion', hue='Country', data=dataset_C,
marker="o", palette="Blues")
sns.despine(left=True, bottom=True)
plt.show()
我不认为这是可视化方面的最佳解决方案,但是,如果我很好地理解了您要寻找的内容,那么下面就是:
first solution
相反,我会寻找类似的东西:
second solution
我希望这对你有帮助!问候
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