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I have generated a pie chart using both Pandas wrapper counts.plot(kind='pie') and Matplotlib straight `plt.pie(counts).
The issue is the labelling. Using both the pie chart represents correctly in terms of values = pie wedge, however the labels are off when I start introducing custom colors and legends.
The pie chart labels are correct, but the legend labels are drawing in relation to their label order in group_name, not their values. Any ideas on how to fix this?
Code =
group_names = ['2-3 km', '3-5 km','5-7 km','7-10 km','10-20 km','20-50 km','50-75 km','75-100 km','>100 km']
df['bins'] = pd.cut(df['distkm'], bins)
df['categories'] = pd.cut(df['distkm'], bins, labels=group_names)
counts = df['categories'].value_counts()
plt.axis('equal')
explode = (0, 0, 0,0.1,0.1,0.2,0.3,0.4,0.6)
colors = ['#191970','#001CF0','#0038E2','#0055D4','#0071C6','#008DB8','#00AAAA','#00C69C','#00E28E','#00FF80',]
counts.plot(kind='pie', fontsize=17,colors=colors,explode=explode)
plt.legend(labels=group_names,loc="best")
plt.show()
Data look like
20-50 km 1109
50-75 km 696
10-20 km 353
75-100 km 192
3-5 km 168
7-10 km 86
5-7 km 74
>100 km 65
2-3 km 53
dtype: int64
620
To avoid overlapping of labels and autopct in a matplotlib pie chart, we can follow label as a legend, using legend() method.
To hide the label on the left side in matplotlib, we can use plt. ylabel("") with ablank string.
text() is the main function we can use to add text to a plot. We start by adding the string “function” with fontsize=12 to the location (10, 20). By default, the location is given in data coordinates. The coordinate system can be changed using the transform parameter.
Creating the value counts, if I take off the auto sort, the legend draws correctly.
counts = df['categories'].value_counts(sort=False)
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