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Joint Probability Matrices - Format Output Table
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| # https://stackoverflow.com/questions/38931566 | |
| def background_gradient(s, m=None, M=None, cmap='Reds', low=0, high=0): | |
| if m is None: | |
| m = s.min().min() | |
| if M is None: | |
| M = s.max().max() | |
| rng = M - m | |
| norm = colors.Normalize(m - (rng * low), M + (rng * high)) | |
| normed = s.apply(lambda x: norm(x.values)) | |
| cm = plt.cm.get_cmap(cmap) | |
| c = normed.applymap(lambda x: colors.rgb2hex(cm(x))) | |
| ret = c.applymap(lambda x: 'background-color: %s' % x) | |
| return ret | |
| jp_df.columns.name = 'Predicted' | |
| jp_df_df.index.name = 'Ground Truth' | |
| jp_df_df.style.set_caption("Joint Probability Matrix").apply(background_gradient, high=1, axis=None).format("{:.2f}") |
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