Libraries for visualizing data and creating charts.
Data visualization libraries in Python, like Matplotlib, Seaborn, Plotly, Bokeh, and Altair, are tools designed to convert data into graphical or visual formats, aiding in its analysis and interpretation. They offer functionalities to create a wide range of charts and plots, from basic histograms and line graphs to complex interactive visualizations. These libraries are used to uncover patterns, trends, and correlations in data, making them indispensable in data analysis, scientific research, and information sharing.
Comprehensive Visualization Library
Comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib is versatile and widely used for plotting graphs and charts with extensive customization options.