From the course: Python for Data Visualization (2019)
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Matplotlib wrappers (pandas and Seaborn)
From the course: Python for Data Visualization (2019)
Matplotlib wrappers (pandas and Seaborn)
- [Instructor] Matplotlib is a very popular data visualization library, but it definitely has its flaws. So in this video, we'll learn about two matplotlib wrappers, pandas and seaborn. Matplotlib defaults are not ideal. There's no gridlines, there's a white background, et cetera. The library is also relatively low level, so doing anything complicated takes quite a bit of code. And third, the lack of integration with pandas data structures is inconvenient, though this is being approved. In this video, we're going to make a more complicated visualization called a boxplot to show how helpful it is to work with the matplotlib wrappers, pandas and seaborn. But first, we have to know what a boxplot is and a boxplot is a standardized way of displaying the distribution of data based on a five-number summary, the "minimum," the first quartile, the median, the third quartile, and the maximum. A boxplot can tell you what're your outliners and what their values are. It can…
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