I'm using seaborn to create a density plot with the following command lines
# set seaborn whitegrid theme
sns.set(style="whitegrid")
sns.kdeplot(data = dfSPSSstudent, x='entIntention_mean', hue='Q2_1a')
#define figure size
sns.set(rc={"figure.figsize":(18, 14)}) #width=8, height=4
# Put the legend out of the figure
#ax.legend(bbox_to_anchor=(1.05, 1), loc=2)
plt.legend(labels = dfSPSSstudent['Q2_1a'], loc = 'upper left', bbox_to_anchor = (1,1))
plt.show()
I have a very strange legend compared to the results I have when counting the different categories of Q2_1a.
an employee in a large business (250 or more employees) 437
Other / do not know yet 373
an employee in a medium-sized business (50-249 employees) 370
an employee in a small business (1-49 employees) 261
a founder (entrepreneur) working in my own business 107
an employee in public service 101
an employee in academia (academic career path) 78
an employee in a non-profit organization 51
a successor in my parents’ / family’s business 16
a successor in another business 16
Do you know how to solve the issue?
This is working fine without legend outside the plot
