autopct cant be added to axis.pie :: error: too many values
matplotlib, pie-chart, python
Solution
If you want to use `autopct`, remember now you have 3 values to be unpacked instead of two, so change your code to `wedges, plt_labels, junk = ax.pie([20, 40, 60], labels=labels, autopct='%1.1f%%')` will solve your problem
`juck` is going to be the `text.Text` objects of your percentage values.
Problem
In the following code, i'm just printing the label on the console whenever mouse clicks on the pie chart. The problem is i cant add autopct to the ax.pie() because of the wedges thing, i don't know how to add percentage label on the piechart without using autopct to ax.pie. ``` import matplotlib.pyplot as plt labels = ['Beans', 'Squash', 'Corn'] i=0 def main(): # Make an example pie plot fig = plt.figure() ax = fig.add_subplot(111) #labels = ['Beans', 'Squash', 'Corn'] wedges, plt_labels = ax.pie([20, 40, 60], labels=labels) ax.axis('equal') make_picker(fig, wedges) plt.show() def make_picker(fig, wedges): global i def onclick(event): global i i=i+1 print event.__class__ wedge = event.artist label = wedge.get_label() print label fig.canvas.figure.clf() ax=fig.add_subplot(111) wedges, plt_labels = ax.pie([50, 100, 60],labels=labels)# how to add autopct='%1.1f%%' fig.canvas.draw() for wedge in wedges: wedge.set_picker(True) # Make wedges selectable if i==0: for wedge in wedges: wedge.set_picker(True) fig.canvas.mpl_connect('pick_event', onclick) if __name__ == '__main__': main() ```