pandas 如何在matplotlib中控制科学记数法？
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How to control scientific notation in matplotlib?
提问by aviss
This is my data frame I'm trying to plot:
这是我试图绘制的数据框：
my_dic = {'stats': {'apr': 23083904,
'may': 16786816,
'june': 26197936,
}}
my_df = pd.DataFrame(my_dic)
my_df.head()
This is how I plot it:
这就是我绘制它的方式：
ax = my_df['stats'].plot(kind='bar', legend=False)
ax.set_xlabel("Month", fontsize=12)
ax.set_ylabel("Stats", fontsize=12)
ax.ticklabel_format(useOffset=False) #AttributeError: This method only works with the ScalarFormatter.
plt.show()
The plot:
剧情：
I'd like to control the scientific notation. I tried to suppress it by this line as was suggested in other questions plt.ticklabel_format(useOffset=False)but I get this error back - AttributeError: This method only works with the ScalarFormatter. Ideally, I'd like to show my data in (mln).
我想控制科学记数法。我试图按照其他问题中的建议通过这一行来抑制它，plt.ticklabel_format(useOffset=False)但我又得到了这个错误 - AttributeError: This method only works with the ScalarFormatter。理想情况下，我想以 (mln) 显示我的数据。
采纳答案by aviss
Adding this line helps to get numbers in a plain format but with ',' which looks much nicer:
添加此行有助于以简单格式获取数字，但使用 ',' 看起来更好：
ax.get_yaxis().set_major_formatter(
matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x), ',')))
And then I can use int(x)/to convert to million or thousand as I wish:
然后我可以根据int(x)/需要转换为百万或千：
