Xtykutl

I've got my pie chart working but I noticed that the text boxes for the actual chart doesn't seem to be working correctly. They are just clustered so I was wondering is there any way for me to move the labels into the middle where the white circle is and have the matching colour beside it or not?

crimeTypes = dict(crimeData["Crime type"].value_counts())



crimeType = 

totalAmount = 

numberOfCrimes = 14



for key in sorted(crimeTypes, key=crimeTypes.get, reverse=True):

    crimeType.append(key)

    totalAmount.append(crimeTypes.get(key))



crimeType_sample = crimeType[0:numberOfCrimes]

totalAmount_sample = totalAmount[0:numberOfCrimes]



fig1, ax1 = plt.subplots()

ax1.pie(totalAmount_sample, labels=crimeType_sample, autopct='%1.1f%%', shadow=False, startangle=90)

ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

fig1 = plt.gcf()

fig1.set_size_inches(10,10)

circle = plt.Circle(xy=(0,0), radius=0.75, facecolor='white')

plt.gca().add_artist(circle)

plt.show();

Here's some sample data to reproduce your problem:

Sample Data:

import pandas as pd



data = (['Burglary']*50 + ['Arson', 'Theft', 'Violence'] + ['Drugs']*10 + ['Other'] + 

        ['Shoplifting']*4 + ['Harassment']*17 + ['Murder', 'Vehicle Crime']*3 + 

        ['Some other Crimes']*12 + ['Even More Crime', 'And Crime', 'And More Crime']*10)

crimeData = pd.DataFrame(data, columns=['Crime type'])

Which will result in this plot:

Use a legend

Do not plot the percentages or labels when you plot, and then create a legend which is placed off to the side:

fig1, ax1 = plt.subplots()



ax1.pie(totalAmount_sample, shadow=False, startangle=90)  # No labels or %s

ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

fig1 = plt.gcf()

fig1.set_size_inches(5,5)

circle = plt.Circle(xy=(0,0), radius=0.75, facecolor='white')

plt.gca().add_artist(circle)



plt.legend(labels=[f'{x} {np.round(y/sum(totalAmount_sample)*100,1)}%' for x,y in crimeTypes.items()], 

           bbox_to_anchor=(1,1))



plt.show();

Rotate the labels:

Create your labels and use rotatelabels=True. Though this may still appear cramped in many cases.

fig1, ax1 = plt.subplots()



labels=[f'{x} {np.round(y/sum(totalAmount_sample)*100,1)}%' for x,y in crimeTypes.items()]

ax1.pie(totalAmount_sample, labels=labels, shadow=False, startangle=90,

        rotatelabels=True)  # No %



ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

fig1 = plt.gcf()

fig1.set_size_inches(7,7)

circle = plt.Circle(xy=(0,0), radius=0.75, facecolor='white')

plt.gca().add_artist(circle)



plt.show();