This can be achieved with matplotlib
from import ConnectionPatch
#make canvas fig = (figsize=(9,5.0625))
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
fig.subplots_adjust(wspace=0)
#Big Pie Chart Creation
labels =
size =
explode=(0,0,0,0,0,0.1)
(size, autopct='%1.1f%%',startangle=30,labels=labels,explode=explode)
#Small Pie Chart Creation
labels2 =
size2 =
width=0.2
(size2, autopct='%1.1f%%',startangle=90,labels=labels2,
radius=0.5,shadow=True)
# Use ConnectionPatch to draw a line between two pie charts
# Get the data from the edge of the pie chart first
theta1, theta2 = [5].theta1, [5].theta2
center, r = [5].center,[5].r
# Draw a line connecting the upper edges
x = r*(/180*theta2)+center[0]
y = (/180*theta2)+center[1]
con = ConnectionPatch(xyA=(-width/2,0.5),xyB=(x,y),
coordsA='data', coordsB='data',axesA=ax2,axesB=ax1)
con.set_linewidth(2)
con.set_color=([0,0,0])
ax2.add_artist(con)
# Draw a line connecting the lower edges
x = r*(/180*theta1)+center[0]
y = (/180*theta1)+center[1]
con = ConnectionPatch(xyA=(-width/2,-0.5),xyB=(x,y),
coordsA='data', coordsB='data',axesA=ax2,axesB=ax1)
con.set_linewidth(2)
con.set_color=([0,0,0])
ax2.add_artist(con)
()
Output:
Chart source data are fast food restaurant sales
summarize
The above is a small introduction to python through matplotlib to achieve the generation of composite pie charts, I hope to help you!