I am trying to plot lines between the data belonging to the three inner layers in the following pie chart:
The black line in the figure shows where one of the lines is supposed to be.
However, I cannot figure out how to set the right length. In fact, using plt.plot([1-0.3, 1+0.4+0.5], [0, 0])
the plot seems to be sensible to a change in the starting point (x[0]
) but not in the ending point (x[1]
): it always ends in the same point independently from the values I set as x[1]
. Does anyone know how to correctly plot this line?
Here's my code:
import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots()
### Data structure:
# Network type:
group_names = ['Group 1', 'Group 2', 'Group 3']
group_vals = [43,49,38]
group_colors = ['w']*3
#Information level:
info_names = ['Subgroup 1', 'Subgroup 2', \
'Subgroup 1', 'Subgroup 2',\
'SSubgroup 1', 'Subgroup 2']
info_vals = np.array([[27,16],[26,23],[14,24]])
my_blue = [x/255 for x in [30,144,255]]
info_colors = [my_blue,'gray',\
my_blue,'gray',\
my_blue,'gray']
corr_vals = np.array([[10,3,7,3,4], [4,4,4,2,2],\
[10,5,5,3,3], [10,5,5,1,2],\
[4,4,2,2,2], [12,2,2,1,7]])
pale_green = [x/255 for x in [152,251,152]]
pale_red = [x/255 for x in [240,128,128]]
pale_gray = [x/255 for x in [169,169,169]]
corr_colors = ['green',pale_green,pale_gray,pale_red,'red', 'green',pale_green,pale_gray,pale_red,'red',\
'green',pale_green,pale_gray,pale_red,'red', 'green',pale_green,pale_gray,pale_red,'red',\
'green',pale_green,pale_gray,pale_red,'red', 'green',pale_green,pale_gray,pale_red,'red',]
pie_properties = ax.pie(group_vals, radius=1, colors=group_colors,
wedgeprops=dict(width=0.3, edgecolor='k'))
pie_properties = ax.pie(info_vals.flatten(), radius=1+0.4, colors=info_colors,
wedgeprops=dict(width=0.4, edgecolor='w'))
ax.pie(corr_vals.flatten(), radius=1+0.4+0.5, colors=corr_colors,
wedgeprops=dict(width=0.5, edgecolor='w'))
#line plotting
plt.plot([1-0.3, 1+0.4+0.5], [0, 0], linewidth=2, color='k')
ax.set(aspect="equal")
plt.show()
It seems that the line is being clipped.
matplotlib.axes.Axes.plot
can be passed an option to configure clipping.
ax.plot([1.4, 0], [0, 0], linewidth=2, color='k', clip_on=False)