Answer by Joe Heffer for Seaborn Heatmap Colorbar Label as Percentage
You should get the colour bar object and then get the relevant axis object:import matplotlib.pyplot as pltfrom matplotlib.ticker import PercentFormatterfig, ax = plt.subplots()sns.heatmap(df, ax=ax,...
View ArticleAnswer by Alexandre for Seaborn Heatmap Colorbar Label as Percentage
Well, I had a similar problem and figured out how to properly set a formatter. Your example would become something like:import numpy as np; np.random.seed(0)import seaborn as sns; sns.set()uniform_data...
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Answer by Stefaan for Seaborn Heatmap Colorbar Label as Percentage
iterating on the solution of @mwaskom, without creating the colorbar yourself:import numpy as npimport seaborn as snsdata = np.random.rand(8, 12)ax = sns.heatmap(data, vmin=0, vmax=1)cbar =...
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Answer by mwaskom for Seaborn Heatmap Colorbar Label as Percentage
You need to be able to access the colorbar object. It might be buried in the figure object somewhere, but I couldn't find it, so the easy thing to do is just to make it yourself:import numpy as np;...
View ArticleSeaborn Heatmap Colorbar Label as Percentage
Given this heat map:import numpy as np; np.random.seed(0)import seaborn as sns; sns.set()uniform_data = np.random.rand(10, 12)ax = sns.heatmap(uniform_data)How would I go about making the color bar...
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