[英]How to control scientific notation in matplotlib?
This is my data frame I'm trying to plot: 这是我要绘制的数据框:
my_dic = {'stats': {'apr': 23083904,
'may': 16786816,
'june': 26197936,
}}
my_df = pd.DataFrame(my_dic)
my_df.head()
This is how I plot it: 这是我的绘图方式:
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. 我想控制科学计数法。 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
. 我试图按照其他问题plt.ticklabel_format(useOffset=False)
建议通过此行来抑制它,但是我得到了此错误AttributeError: This method only works with the ScalarFormatter
。 Ideally, I'd like to show my data in (mln). 理想情况下,我想以(mln)显示数据。
Adding this line helps to get numbers in a plain format but with ',' which looks much nicer: 添加此行有助于获取纯格式的数字,但带有','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,我可以根据需要使用int(x)/
转换为百万或千:
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