Need help filling in box plot with custom colors-CodePudding

Data:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

data = pd.DataFrame(np.random.normal(size=(15,4)))

#Rename columns
data.set_axis(['Column A', 'Column B', 'Column C', 'Column D'], axis=1, inplace=True)

data

     Column A    Column B    Column C    Column D
0    0.786186   -0.416792    0.174680    2.487244
1   -0.252369   -0.342730    0.205828   -1.321883
2   -2.000831   -1.710470    1.230441    1.151613
3    1.589489   -0.735494   -1.427740   -0.291532
4    0.162657    0.091248   -1.166623   -1.702915
5   -2.046027    0.538372    1.799922   -1.283141
6   -0.046736   -0.100009   -0.775107    1.778775
7   -0.205502   -1.033712    0.335681    0.178957
8   -0.598907    1.863979   -0.828703   -0.977883
9   -0.532970   -0.964670   -1.618440    0.169850
10   2.123033    0.472480    2.307614   -0.397944
11   1.149670   -0.906352    0.409004   -1.322099
12   0.618216   -1.181656    0.342085   -0.853023
13  -1.108748   -0.546607   -3.468131   -0.382351
14  -0.404277   -1.612273    0.787983    1.033892

#Create figure 
fig, axs = plt.subplots(2, figsize = (15,15))

#Colors I want to use
colors = ['#002072', '#00BDF2']

I want to create a box plot of my data in the axs[0] subplot (the top subplot in the figure I have created) and fill in the bar colors as shown below. Notice how the colors alternate. I have provided the hex color codes of the colors I want. I also want to change the color of the median/mean line so that it's easier to see in the dark blue bars. I really appreciate any help. I've been struggling with this for hours. You would think it would be as simple as passing an argument, but I have not had success with the example code I've found online. I get more confused the more examples I come across.

Thank you!

CodePudding user response：

I'd suggest using

Your question is a bit too broad, let's start with just the one question of coloring. After this, look through the documentation on your own, do a little bit of Googling... and if you still can't figure out the excess parts of your question, feel free to make a new question~

CodePudding user response：

I like to suggest you this code but, you should improve the code based on your data.

# Import libraries
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Creating dataset
np.random.seed(10)
data_1 = np.random.normal(100, 10, 200)
data_2 = np.random.normal(90, 20, 200)
data_3 = np.random.normal(80, 30, 200)
data_4 = np.random.normal(70, 40, 200)
data = [data_1, data_2, data_3, data_4]

fig = plt.figure(figsize =(10, 7))
ax = fig.add_subplot(111)

# Creating axes instance
bp = ax.boxplot(data, patch_artist = True,
                notch ='True', vert = 0)

colors = ['#0000FF', '#00FF00',
        '#FFFF00', '#FF00FF']

for patch, color in zip(bp['boxes'], colors):
    patch.set_facecolor(color)

# changing color and linewidth of
# whiskers
for whisker in bp['whiskers']:
    whisker.set(color ='#8B008B',
                linewidth = 1.5,
                linestyle =":")

# changing color and linewidth of
# caps
for cap in bp['caps']:
    cap.set(color ='#8B008B',
            linewidth = 2)

# changing color and linewidth of
# medians
for median in bp['medians']:
    median.set(color ='red',
            linewidth = 3)

# changing style of fliers
for flier in bp['fliers']:
    flier.set(marker ='D',
            color ='#e7298a',
            alpha = 0.5)
    
# x-axis labels
ax.set_yticklabels(['Column A', 'Column B',
                    'Column C', 'Column D'])

# Adding title
plt.title("Customized box plot")

# Removing top axes and right axes
# ticks
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
    
# show plot
plt.show()

The Output Customize Box plot