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There is a reason why matplotlib is the most popular Python library for data visualization … Python provides numerous libraries for data analysis and visualization mainly numpy, pandas, matplotlib, seaborn etc. The Python scientific stack is fairly mature, and there are libraries for a variety of use cases, including machine learning, and data analysis.Data visualization is an important part of being able to explore data … I love working with matplotlib in Python. Whether you’re just getting to know a dataset or preparing to publish your findings, visualization is an essential tool. Python’s popular data analysis library, pandas, provides several different options for visualizing your data with .plot().Even if you’re at the beginning of your pandas journey, you’ll soon be creating basic plots that will yield valuable insights into your data. Example of plotly figures ()Plotly Brief Overview. Know how to use matplotlib and seaborn libraries to create beautiful data visualization. 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