Learn how to create a histogram with Pandas.


Data visualizations are of great importance and are frequently used in data science. They can be used to analyze and explore the data. They also serve as great tools for delivering results. A well-designed data visualization has much more informative power than plain numbers.

Pandas isn’t a data visualization library, but it can be used to create frequently used basic plots. The plot function and its parameters can be used to create and customize different kinds of plots. In many cases, it saves us from having to use an additional data visualization library.

Visualizing data distribution with a histogram

Histograms are used to visualize the distribution of values. They divide the entire value range into bins and show how many values exist in each bin. They can be considered the visual version of the cut function. Let’s start by creating a histogram of the price column in the grocery.

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