
Below code gives me the heatmap output. but I want to add rectangle patches to highlight values in the range of 0.4 to 0.99 and -0.4 to -0.99
plt.figure(figsize=(15,10))
mask = np.triu(np.ones_like(corr, dtype=np.bool))
sns.heatmap(corr,annot=True,fmt=".2f", mask=mask,cmap="YlGnBu");
The heatmap data for the categorical variables was taken from Kaggle's home price data. To add a rectangle, add a rectangle to add_patch(). The coordinates are based on the lower left corner, so specify the x and y of each in tuples, and specify the width and height. We also specify not to fill it.
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.patches as patches
fig, ax = plt.subplots(figsize=(18,18))
df_house = pd.read_csv('./data/house_prices_train.csv', index_col=0)
df_house_corr = df_house.corr()
mask = np.triu(np.ones_like(df_house_corr, dtype=np.bool))
sns.heatmap(df_house_corr, annot=True, fmt=".2f", mask=mask, cmap="YlGnBu")
ax.add_patch(
patches.Rectangle(
(5, 6),
1.0,
35.0,
edgecolor='red',
fill=False,
lw=2
) )
plt.show()

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