Simple example below for this issue which I just can't solve.
NB Some other Seaborn plotting methods seems to have arguments to repress the exponential form but seemingly not factorplots
. I tried some Matplotlib solutions including those suggested in this similar question but none work. Also this is not a dupe of this question . I use factorplots very frequently and ideally want to find a proper solution as opposed to a workaround.
data = {'reports': [4, 24, 31, 2, 3],'coverage': [35050800, 54899767, 57890789, 62890798, 70897871]}
df = pd.DataFrame(data)
df
Produces this dataframe:
coverage reports
0 35050800 4
1 54899767 24
2 57890789 31
3 62890798 2
4 70897871 3
And then this Seaborn code:
sns.factorplot(y="coverage", x="reports", kind='bar', data=df, label="Total")
Produces this plot:
Is there a way to get the y axis to display an appropriate numeric scale based on the coverage
values?
It looks like the following line solves the issue:
plt.ticklabel_format(style='plain', axis='y')
Here is the documentation link .
以下行为我解决了问题(除了Tony的回答)
sns.plt.ticklabel_format(style='plain', axis='y',useOffset=False)
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