# number of variable
categories=list(data)[0:]
N = len(categories)

# Angles for plotting
angles = [n / float(N) * 2 * pi for n in range(N)]
angles += angles[:1]

# Initialise
f, ax = plt.subplots(1,1,figsize=(40,20))
ax = plt.subplot(111, polar=True)

# Draw one axe per variable
plt.xticks(angles[:-1], color='grey', size=16)

# the main problem in my code - placing yticks 'around' the plot
# to be near the corresponding values
for idx, an in enumerate(angles):
    ax.set_rlabel_position(an) # positioning labels at a given angle
    tick_values = [blue_values[idx],red_values[idx]] # to get the two labels values
    plt.yticks(tick_values, [x.rstrip('.0') for x in list(map(str, tick_values))], color="black", size=16)

plt.ylim(0,max(red_values))

# Add plots
# Plot data
ax.plot(angles, blue_values, linewidth=1, linestyle='solid')
# Fill area
ax.fill(angles, blue_values, 'b', alpha=0.5)

# Plot data
ax.plot(angles, red_values, linewidth=1, linestyle='solid')
# Fill area
ax.fill(angles, red_values, 'r', alpha=0.2)