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How to make Plotly boxplot in Python?

boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod') Once this is done, you can create the actual plot and incorporate the boxprops dictionary like this: plt.boxplot(iris_data.transpose(), boxprops=boxprops) plt.xticks(ticks,labels) The flierprops argument works in a similar manner.

How to plot box plot in Python?

boxplot() function takes the data array to be plotted as input in first argument, second argument notch=‘True’ creates the notch format of the box plot. Third argument patch_artist=True, fills the boxplot with color and fourth argument takes the label to be plotted. Horizontal box plot in python with different colors:

What is a box plot and when to use it?

When you should use a box plot. Box plots are used to show distributions of numeric data values, especially when you want to compare them between multiple groups. They are built to provide high-level information at a glance, offering general information about a group of data’s symmetry, skew, variance, and outliers.

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