in the below code, I'm trying to plot stacked bar chart of % of stoke events against the gender variable.
dfgender=df.groupby('gender')['stroke'].value_counts(normalize=True).unstack().fillna(0)
ax=dfgender.plot.bar(stacked=True,colormap='tab10',figsize=(8, 6))
plt.legend(loc="upper right", ncol=1, prop={'size': 8})
plt.title('Gender vs Stroke')
plt.xlabel("Gender")
plt.ylabel("Proportion")
for p in ax.patches:
ax.annotate(round(p.get_height(),2), (p.get_x()+p.get_width()/2, p.get_height()),ha='center',va='center',xytext=(10, 0), textcoords='offset points')
plt.show()
But as you can see, the placement of the bar labels is incorrect. 1 should be 5% and 0 should be 95%. I want the figures to be represented in percentages and be positioned in the center of the bars. Can somebody help me please?
