Created
March 27, 2019 10:21
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Example of pandas/seaborn heatmap generation
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| """Example of pandas/seaborn heatmap generation""" | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| def heatmap_using_seaborn(data): | |
| import seaborn as sns; sns.set() | |
| ax = sns.heatmap(data) | |
| plt.show() | |
| def heatmap_using_pandas(data): | |
| import numpy as np ; np.random.seed(0) | |
| plt.pcolor(data) | |
| plt.yticks(np.arange(0.5, len(data.index), 1), data.index) | |
| plt.xticks(np.arange(0.5, len(data.columns), 1), data.columns) | |
| plt.show() | |
| data = pd.DataFrame({ | |
| 'left': [0, 10, 20, 30, 33, 40, 0, 10], | |
| 'center': [100, 80, 60, 40, 34, 20, 10, 20], | |
| 'right': [0, 10, 20, 30, 33, 40, 90, 70], | |
| }) | |
| # pick one, the seaborn one is better, but needs seaborn package | |
| heatmap_using_pandas(data) | |
| heatmap_using_seaborn(data) |
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