From the course: Python for Data Visualization

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Introduction to pandas

Introduction to pandas - Python Tutorial

From the course: Python for Data Visualization

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Introduction to pandas

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- [Instructor] In order to make a visualization, we need data, and we usually need it in organized tabular form suitable for plotting. The Pandas library provides easy to use data structures and data analysis tools you can use to make your data easier to plot. Pandas data frames are multidimensional, labeled data structures similar to tables and spreadsheets with rows and columns. With it, you can store and manipulate data in a table format, providing a convenient way to analyze and visualize it. An important data structure of the Panda's library is a fast and efficient object for data manipulation called a data frame. You can manipulate and transform data frames easily with various Pandas methods. You can perform operations such as filter rows based on certain conditions, sort the data, pick specific columns, merge or join multiple data frames, and aggregate data. Another useful feature of Pandas is its ability to…

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