How to plot multiple box plot in python?

If you wish to create multiple box plots we need to use scatter instead of a line. Also, for color coding, you will need to use a scatter plot with different colors for each box plot. In this tutorial, we will use the Python library seaborn to create multiple box plots.

How to make multiple box plot in python?

If you have several variables you want to compare, box plots are a great choice. You can place one boxplot for each variable and use line graphs to compare them in the same graph. To make multiple box plots in Python, you can use the boxplot function of matplotlib Use a list of lists to input the data for each box plot. You can also use a dictionary to map the names of each variable to the list of lists of values.

How to plot multiple box plot in python?

If you want to create multiple box plot using Python, you can use the boxplot() function from seaborn library. This function plots a box plot for multiple groups of data. You can use the keyword argument groupby to specify the groups. By default, the group is created based on the index of the column. If you need to use the column name, you can specify the group parameter.

How to plot multiple box plots in R?

Using box plots is one of the most common statistical plots that are used. In the box plots, the middle line in the box is the median, the edges of the box represent the upper and lower quartiles, and the lines outside the box show the maximum and minimum values. The dots represent the outliers. Here is an example of a box plot in R.

How to plot multiple box plots in one plot?

In the example above, the boxplots are plotted one after another, starting with the smallest value and finishing with the highest. The example below shows an alternative way to plot many box plots with one boxplot per group.