Python polar bar chart - Remove degrees & color one ring - python-3.x

Question

I have been trying to create a polar bar chart in python for quite some time. After some research I managed to get the results that I wanted. Well, almost. There're still a couple thing that I don't know how to do.
I include my code:
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FixedLocator
from operator import add
#DATA MANIPULATION
dataset = pd.read_csv('Controls.csv', delimiter=";")
dataset.astype({'Rating':'float'})
#print(dataset.dtypes)
categories = dataset['Category'].drop_duplicates()
controls = dataset['Control'].drop_duplicates()
categ_avg = []
control_average = []
#Average for controls
for category in categories:
avg = 0
for index, item in dataset.iterrows():
if item['Category'] == category:
avg += item['Rating']
categ_avg.append(avg)
avg = 0
for control in controls:
avg = 0
for index, item in dataset.iterrows():
if item['Control'] == control:
avg += item['Rating']
control_average.append(avg)
avg = 0
average = [total / 5 for total in categ_avg]
avgdf = pd.DataFrame({
'Category' : categories,
#'Controls' : controls,
'Average' : average
})
#PLOTTING
#Compute pie slices which is the number of unique controls
N = len(controls)
#theta = np.linspace(0, 2 * np.pi, N, endpoint=False)
theta = [0]
for cat in categories:
if cat == 'CAT-A':
theta.append( theta[-1] + (2 * np.pi/N * 2) )
else:
theta.append( theta[-1] + (2*np.pi / N) )
print(theta)
#Compute the filling axis
mid_theta = []
for cat in categories:
if cat == 'CAT-A':
mid_theta.append( 2 * np.pi/N )
else:
mid_theta.append( 2 * np.pi / N / 2 )
mid_theta = list(map(add,theta, mid_theta))
print(mid_theta)
radii = avgdf['Average']
#width = theta[1] - theta[0]
width = []
for i in range(0, len(avgdf['Average'])):
width.append(theta[i+1] - theta[i])
fig = plt.figure()
fig.patch.set_facecolor('white')
fig.patch.set_alpha(0.5)
#Draw X labels
ax = fig.add_subplot(111, projection='polar')
ax.set_xticks(theta)
# Draw ylabels
ax.set_rlabel_position(0)
ax.set_yticks([1, 2, 3, 4, 5])
ax.set_yticklabels(["1", "2", "3", "4", "5"], color="black", size=8)
ax.set_ylim(0, 5)
#colors = plt.cm.hsv(theta/2/np.pi)
bars = ax.bar(mid_theta, radii, width=width, bottom=0.0)
#Labels
for bar, angle, label in zip(bars, mid_theta, avgdf["Category"]):
# Labels are rotated. Rotation must be specified in degrees :(
rotation = np.rad2deg(angle)
# Flip some labels upside down
alignment = ""
if angle >= np.pi/2 and angle < 3*np.pi/2:
alignment = "right"
rotation = rotation + 180
else:
alignment = "left"
# Finally add the labels
ax.text(
x=angle,
y=5.5,
s=label,
ha=alignment,
va='center')
#Use custom colors and opacity
for r, bar in zip(avgdf['Average'], bars):
bar.set_facecolor(plt.cm.viridis(r/5.))
bar.set_alpha(0.5)
plt.show()
When I execute it I obtain the following graph: Resulting graph
What I'm trying to achieve is:
I would like to color the ring number 4 in green.
I would like to remove the degrees from the outer ring. I only want to see my categories not the 0, 144º...
I really appreciate the help.
Thanks you.

Answer 1

Create a list of colours with as many colours as you have polar bars.
c = ['blue', 'blue', 'blue', 'green', 'blue', 'blue']
bars = ax.bar(
x=angles,
height=heights,
width=width,
color=c,
linewidth=2,
edgecolor="white")