Seaborn – Heatmap Plot Visualization
Table Of Contents:
- What Is Heatmap Plot ?
- Where To Use Heatmap Plot ?
- Examples Of Heatmap Plot ?
(1) What Is Heatmap Plot ?
(2) Where To Use Heatmap Plot ?
(3) Examples Of Heatmap Plot ?
Example-1: Basic Heatmap for Correlation Matrix
import seaborn as sns
import matplotlib.pyplot as plt
# Load built-in dataset
tips = sns.load_dataset("tips")
# Keep only numeric columns
tips_numeric = tips.select_dtypes(include="number")
# Compute correlation matrix
corr = tips_numeric.corr()
# Create heatmap
sns.heatmap(corr, annot=True, cmap="coolwarm", fmt=".2f")
plt.title("Correlation Heatmap")
plt.show()
Example-2: Heatmap for Missing Values
import numpy as np
import pandas as pd
# Create a sample dataset with missing values
data = pd.DataFrame({
"A": [1, 2, np.nan, 4, 5],
"B": [5, np.nan, np.nan, 3, 2],
"C": [3, 4, 2, 1, np.nan]
})
# Create heatmap to show missing values
sns.heatmap(data.isnull(), cmap="viridis", cbar=False)
plt.title("Missing Values Heatmap")
plt.show()
Example-3: Heatmap for Categorical Data (Pivot Table)
import seaborn as sns
import matplotlib.pyplot as plt
# Load built-in dataset
flights = sns.load_dataset("flights")
# Convert data into a pivot table (Use keyword arguments)
pivot = flights.pivot(index="month", columns="year", values="passengers")
# Create heatmap
sns.heatmap(pivot, cmap="Blues", annot=True, fmt="d")
plt.title("Monthly Flight Passengers Heatmap")
plt.show()
(4) Heatmap Vs Correlation Matrix ?
