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Simple example below for this issue which I just can't solve.
N.B. 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?
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To prevent scientific notation, we must pass style='plain' in the ticklabel_format method.
Use the set_xlabel() and set_ylabel() Functions to Set the Axis Labels in a Seaborn Plot. A seaborn plot returns a matplotlib axes instance type object. We can use the set_xlabel() and set_ylabel to set the x and y-axis label respectively. We can use the fontsize parameter to control the size of the font.
To remove X or Y labels from a Seaborn heatmap, we can use yticklabel=False.
It looks like the following line solves the issue:
plt.ticklabel_format(style='plain', axis='y') Here is the documentation link.
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