From the course: Python for Data Visualization

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Create plots with Matplotlib wrappers

Create plots with Matplotlib wrappers - Python Tutorial

From the course: Python for Data Visualization

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Create plots with Matplotlib wrappers

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- [Lecturer] Matplotlib is a very popular data visualization library, but 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 grid lines, there's a white background, et cetera. The libraries also relatively low level, so doing anything complicated takes quite a bit of code. In this video, we are 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 by your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped,…

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