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I am trying to make two sets of box plots using Matplotlib. I want each set of box plot filled (and points and whiskers) in a different color. So basically there will be two colors on the plot

My code is below, would be great if you can help make these plots in color. d0 and d1 are each list of lists of data. I want the set of box plots made with data in d0 in one color, and the set of box plots with data in d1 in another color.

plt.boxplot(d0, widths = 0.1)

plt.boxplot(d1, widths = 0.1)

You can change the color of a box plot using setp on the returned value from boxplot() as follows:

import matplotlib.pyplot as plt



def draw_plot(data, edge_color, fill_color):

    bp = ax.boxplot(data, patch_artist=True)



    for element in ['boxes', 'whiskers', 'fliers', 'means', 'medians', 'caps']:

        plt.setp(bp[element], color=edge_color)



    for patch in bp['boxes']:

        patch.set(facecolor=fill_color)       



example_data1 = [[1,2,0.8], [0.5,2,2], [3,2,1]]

example_data2 = [[5,3, 4], [6,4,3,8], [6,4,9]]



fig, ax = plt.subplots()

draw_plot(example_data1, 'red', 'tan')

draw_plot(example_data2, 'blue', 'cyan')

ax.set_ylim(0, 10)

plt.show()

This would display as follows:

To colorize the boxplot, you need to first use the patch_artist=True keyword to tell it that the boxes are patches and not just paths. Then you have two main options here:

1. set the color via ...props keyword argument, e.g.
   boxprops=dict(facecolor="red"). For all keyword arguments, refer to the documentation
   


2. Use the plt.setp(item, properties) functionality to set the properties of the boxes, whiskers, fliers, medians, caps.


3. obtain the individual items of the boxes from the returned dictionary and use item.set_<property>(...) on them individually. This option is detailed in an answer to the following question: python matplotlib filled boxplots, where it allows to change the color of the individual boxes separately.

The complete example, showing options 1 and 2:

import matplotlib.pyplot as plt

import numpy as np

data = np.random.normal(0.1, size=(100,6))

data[76:79,:] = np.ones((3,6))+0.2



plt.figure(figsize=(4,3))

# option 1, specify props dictionaries

c = "red"

plt.boxplot(data[:,:3], positions=[1,2,3], notch=True, patch_artist=True,

            boxprops=dict(facecolor=c, color=c),

            capprops=dict(color=c),

            whiskerprops=dict(color=c),

            flierprops=dict(color=c, markeredgecolor=c),

            medianprops=dict(color=c),

            )





# option 2, set all colors individually

c2 = "purple"

box1 = plt.boxplot(data[:,::-2]+1, positions=[1.5,2.5,3.5], notch=True, patch_artist=True)

for item in ['boxes', 'whiskers', 'fliers', 'medians', 'caps']:

        plt.setp(box1[item], color=c2)

plt.setp(box1["boxes"], facecolor=c2)

plt.setp(box1["fliers"], markeredgecolor=c2)





plt.xlim(0.5,4)

plt.xticks([1,2,3], [1,2,3])

plt.show()

This question seems to be similar to that one (Face pattern for boxes in boxplots)
I hope this code solves your problem

import matplotlib.pyplot as plt



# fake data

d0 = [[4.5, 5, 6, 4],[4.5, 5, 6, 4]]

d1 = [[1, 2, 3, 3.3],[1, 2, 3, 3.3]]



# basic plot

bp0 = plt.boxplot(d0, patch_artist=True)

bp1 = plt.boxplot(d1, patch_artist=True)



for box in bp0['boxes']:

    # change outline color

    box.set(color='red', linewidth=2)

    # change fill color

    box.set(facecolor = 'green' )

    # change hatch

    box.set(hatch = '/')



for box in bp1['boxes']:

    box.set(color='blue', linewidth=5)

    box.set(facecolor = 'red' )



plt.show()