CODEWITHSUNDEEP
pythonmatplotliblegendpie-chart
Gonzalo
Gonzalo

Reputation: 1114

Python - How to hide labels and keep legends matplotlib?

I would like to remove the labels of a pie chart and keep the legends only. Currently, my code has both. Any idea how to remove the labels?

I've tried the code below: 

plt.legend(labels, loc="best") 

and 

labels=None

Bu didn't work.

My full code is:

plt.pie(percent,              # data
    explode=explode,    # offset parameters 
    labels=country,      # slice labels
    colors=colors,      # array of colours
    autopct='%1.0f%%',  # print the values inside the wedges - add % to the values 
    shadow=True,        # enable shadow
    startangle=70       # starting angle
    )

plt.axis('equal')
plt.title('Top 5 Countries', y=1.05, fontsize=15) #distance from plot and size
plt.legend( loc="best") 
plt.tight_layout()

countrypie = "%s_country_pie.png" % pname
plt.savefig(countrypie)

Thanks for your input

Upvotes: 1

Views: 5041

Answers (2)

Angus Williams
Angus Williams

Reputation: 2334

If you alter your code to the following, it should remove the labels and keep the legend:

plt.pie(percent,              # data
    explode=explode,    # offset parameters 
    labels=None,      # OR omit this argument altogether
    colors=colors,      # array of colours
    autopct='%1.0f%%',  # print the values inside the wedges - add % to the values 
    shadow=True,        # enable shadow
    startangle=70       # starting angle
)

plt.axis('equal')
plt.title('Top 5 Countries', y=1.05, fontsize=15) #distance from plot and size
plt.legend( loc="best", labels=country) 
plt.tight_layout()

countrypie = "%s_country_pie.png" % pname
plt.savefig(countrypie)

Upvotes: 2

Tom Ron
Tom Ron

Reputation: 6181

If I understand your question correctly this should solve it. Removing the labels from the pie chart creation and adding the labels to the legend - 

plt.pie(percent,              # data
    explode=explode,    # offset parameters 
    colors=colors,      # array of colours
    autopct='%1.0f%%',  # print the values inside the wedges - add % to the values 
    shadow=True,        # enable shadow
    startangle=70       # starting angle
    )

plt.axis('equal')
plt.title('Top 5 Countries', y=1.05, fontsize=15) #distance from plot and size
plt.legend(loc="best", labels=country) 
plt.tight_layout()

countrypie = "%s_country_pie.png" % pname
plt.savefig(countrypie)

Upvotes: 0

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