Annotate Bars With Values On Pandas (on Seaborn Factorplot Bar Plot)

I wrote some code to try and solve this question: https://stackoverflow.com/questions/39477748/how-to-annotate-bars-with-values-on-pandas-on-seaborn-factorplot-bar-plot I used part

Solution 1:

#Seaborn --factorplot

    colors = ["windows blue", "orange red", "grey", "amber"]  
    myPalette = sns.xkcd_palette(colors) #envío "colors" a la función xkcd_palette

    sns.set(style="white") #fondo blanco
    g = sns.factorplot(x="Stages", y="Accuracy", hue="Dataset", data=df, saturation=5, size=4, aspect=3, kind="bar",
              palette= myPalette, legend=False) #se suprime la leyenda

    g.set(ylim=(0, 140)) 
    g.despine(right=False) 
    g.set_xlabels("") 
    g.set_ylabels("")  
    g.set_yticklabels("") 


   #Matplotlib --legend creation

     myLegend=plt.legend(bbox_to_anchor=(0., 1.2, 1., .102), prop ={'size':10}, loc=10, ncol=4,  #left, bottom, width, height
                title=r'TOTAL ACCURACY AND PER STAGE-RANDOM FOREST')                    
     myLegend.get_title().set_fontsize('24')



     #Matplotlib --anotación de barras

       ax=g.ax #annotate axis = seaborn axisdefannotateBars(row, ax=ax): 
       for p in ax.patches:
             ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
                 ha='center', va='center', fontsize=11, color='gray', rotation=90, xytext=(0, 20),
                 textcoords='offset points')  verticales


     plot = df.apply(annotateBars, ax=ax, axis=1)

Solution 2:

This can now be plotted much more concisely

1. Axes.bar_label automatically labels bars

   for container in ax.containers:
       ax.bar_label(container)
   

2. Axes.legend includes fontsize and title_fontsize params

   ax.legend(fontsize=10, title='ACCURACY', title_fontsize=24)
   

3. Also note that seaborn.factorplot has been renamed to seaborn.catplot

---

Updated seaborn.catplot

colors = ['xkcd:windows blue', 'xkcd:orange red', 'xkcd:grey', 'xkcd:amber']  
g = sns.catplot(x='Stages', y='Accuracy', hue='Dataset', data=df,
                kind='bar', height=4, aspect=3, palette=colors, legend=False)

# auto-label barsfor container in g.ax.containers:
    g.ax.bar_label(container, fmt='%.2f', padding=2, rotation=90)

# add legend with custom font sizes
ax.legend(bbox_to_anchor=(0, 1.2, 1, 0.102), loc=10, ncol=4, fontsize=10,
          title='TOTAL ACCURACY AND PER STAGE-RANDOM FOREST', title_fontsize=24)

# redecorate
g.despine(right=False)
g.set_xlabels('')
g.set_ylabels('')
g.ax.set_yticklabels([])

---

Updated DataFrame.plot.bar

ax = df.pivot('Stages', 'Dataset', 'Accuracy').plot.bar(legend=False)

# auto-label barsfor container in ax.containers:
    ax.bar_label(container, fmt='%.2f', padding=3, rotation=90, size='small')

# add legend with custom font sizes
ax.legend(bbox_to_anchor=(0, 1.1, 1, 0.102), loc=10, ncol=4, fontsize='small',
          title='TOTAL ACCURACY AND PER STAGE-RANDOM FOREST', title_fontsize='xx-large')

# redecorate
sns.despine(right=False)
ax.set_yticklabels([])
plt.xticks(rotation=0)