import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame(np.random.rand(4,3),columns=["A","B","C"] )
df.head()
A | B | C | |
---|---|---|---|
0 | 0.305377 | 0.364436 | 0.948724 |
1 | 0.100469 | 0.534330 | 0.143337 |
2 | 0.133616 | 0.441121 | 0.912186 |
3 | 0.845171 | 0.277859 | 0.830589 |
sns.heatmap(df,
cmap="viridis"
)
plt.show()
sns.clustermap(df,
cmap="viridis"
)
plt.show()