Matplotlib/seaborn histogram using different colors for grouped bins

Question

I have this code, using a pandas df:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import os


path_to = \'Data\\\\2017-04\\\\Mon         


        

Answer 1

If you want to color specific divisions with specific colors and label them accordingly you can use the following code:

import matplotlib.pyplot as plt
import numpy             as np
import seaborn as sns; sns.set(color_codes=True)

number_of_bins = 20
N, bins, patches = plt.hist(np.random.rand(1000), number_of_bins, rwidth=0.8)

#Define the colors for your pathces (you can write them in any format):
colors    = [(0, 0, 0), "b", "#ffff00", "red"]
#Define the ranges of your patches:
divisions = [range(1), range(1, 9), range(9, 14), range(14, 20)]
#If you want to label the regions/divisions:
labels    = ["Black", "Blue", "Yellow", "Red"]

#for each division color the parches according to the specified colors:
for d in divisions:
    patches[list(d)[0]].set_label(labels[divisions.index(d)])
    for i in d:
        patches[i].set_color(colors[divisions.index(d)])


plt.title("Plot Title")
plt.xlabel("X label")
plt.ylabel("Y label")
plt.legend(title="Legend Title")