Introduction to Seaborn

Seaborn is a Python library built on top of Matplotlib that makes it easier and prettier to create complex, beautiful visualizations. Why Seaborn? Matplotlib is powerful but very low-level. Seaborn adds high-level features like automatic styling, themes, color palettes, and dataframe integration. Seaborn comes with built in Datasets Makes complex plots (like boxplots, violin plots, heatmaps, pairplots) very easy. In short: Less code Better-looking graphs Easy handling of DataFrames (like from pandas) Basic Setup # Install Seaborn if you don't have it !pip install seaborn # Import Seaborn import seaborn as sns import matplotlib.pyplot as plt Seaborn Themes Seaborn automatically makes your plots look good, but you can even control the overall "theme." sns.set_theme(style="darkgrid") # Options: whitegrid, dark, white, ticks Example: import numpy as np x = np.array([0, 2, 3, 4, 5, 6, 7, 8, 9 ,10, 60]) y = np.sin(x) sns.lineplot(x=x, y=y) plt.title('Beautiful Line Plot') plt.show() Summary Seaborn makes complex, attractive, and statistical plots simple and ready for professional reports. Matplotlib is important to know for fine-tuning or customization, but Seaborn should be your first choice for day-to-day plotting. In real-world Data Science projects, Seaborn saves hours of manual work by offering higher-level, smarter defaults.

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