CODEWITHSUNDEEP
pythonseabornheatmapplot-annotations
cigrainger
cigrainger

Reputation: 2226

Seaborn showing scientific notation in heatmap for 3-digit numbers

I'm creating a heatmap from a pandas pivot_table as below:

table2 = pd.pivot_table(df,values='control',columns='Year',index='Region',aggfunc=np.sum)
sns.heatmap(table2,annot=True,cmap='Blues')

It creates a heat map as shown below. You can see the numbers are not huge (max 750), but it's showing them in scientific notation. If I view the table itself this is not the case. Any idea on how I could get it to show the numbers in plain notation?

Heatmap

Upvotes: 200

Views: 161511

Answers (3)

Filippo Vitale
Filippo Vitale

Reputation: 8103

For "big integer numbers" I am big fan of fmt=',d' for the Thousands Separators:

sns.heatmap(table2, annot=True, cmap='Blues', fmt=',d')

Upvotes: 2

EdChum
EdChum

Reputation: 394013

According to the docs, the param fmt='.2g' is being applied because you've set annot=True so you can modify the format being applied to:

sns.heatmap(table2,annot=True,cmap='Blues', fmt='g')

Upvotes: 346

Gobryas
Gobryas

Reputation: 395

According to the docs, the parameter fmt is set to .2g when annot=True. So, for example, if your data is float, you can use:

sns.heatmap(table2, annot=True, cmap='Blues', fmt='.3g')

By that, you're telling python to show 3 significant figures. To understand the "fmt" better, check out this answer: https://stackoverflow.com/a/65020192/4529605

Upvotes: 10

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