plot.pie() autopct shows 0.00 for 0/None data

[filipopo]

Not sure should I report this upstream to matplotlib to be honest but
The label correctly does not appear but the percent does,

percents = pd.Series(
    data = [
        0, # the same for None
        10
    ],
    index = [
        'nothing',
        'label'
    ],
    name = 'plot'
)

percents.plot.pie(autopct = '%.2f')

Output:

[mzeitlin11]

Thanks for the report @filip98! This does not look like an upstream issue - labels with 0 are explicitly blanked out on the pandas end before matplotlib plotting functions are called:

pandas/pandas/plotting/_matplotlib/core.py

Lines 1582 to 1592 in 3f3c852

	def blank_labeler(label, value):
	if value == 0:
	return ""
	else:
	return label
	idx = [pprint_thing(v) for v in self.data.index]
	labels = kwds.pop("labels", idx)
	# labels is used for each wedge's labels
	# Blank out labels for values of 0 so they don't overlap
	# with nonzero wedges

The reason for this looks to be to avoid label overlap as happens with matplotlib:

data = [0, 0, 10]
labels = "aaa", "bbb", "label"
fig1, ax1 = plt.subplots()
ax1.pie(data, labels=labels, autopct='%.2f')

gives

[filipopo]

Hey mzeitlin11,

I would expect matplotlib to not show that as well tbh.