Lära Histplot | Distributions of Data

The distributions module contains several functions designed to answer questions such as these. The axes-level functions are histplot, kdeplot, ecdfplot, and rugplot. They are grouped together within the figure-level displot function.

A histplot is a classic visualization tool that represents the distribution of one or more variables by counting the number of observations that fall within discrete bins.

Click the slider to view possible arguments for the plot!

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Note

Use plt.show() to display the plot.

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Create the histplot using the seaborn library:

Set the x parameter equals the 'bill_length_mm';
Set the hue parameter equals the 'island';
Set the element parameter equals the 'step';
Set the stat parameter equals the 'density';
Set the binwidth parameter equals 1;
Set the 'flare' palette;
Use the df data for the plot;
Display the plot.

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