I have this data (df) and I get their percentages (data=rel) and plotted a stacked bar graph.

Now I want to add values (non percentage values) to the centers of each bar but from my first dataframe.

My code for now:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from csv import reader
import seaborn as sns

df = pd.DataFrame({'IL':['Balıkesir', 'Bursa', 'Çanakkale', 'Edirne', 'İstanbul', 'Kırklareli', 'Kocaeli', 'Sakarya','Tekirdağ','Yalova'],'ENGELLIUYGUN':[7,13,3,1,142,1,14,1,2,2],'ENGELLIUYGUNDEGIL':[1,5,0,0,55,0,3,0,1,0]})
iller=df.iloc[:,[0]]

df_total = df["ENGELLIUYGUN"]   df["ENGELLIUYGUNDEGIL"]
df_rel = df[df.columns[1:]].div(df_total, 0)*100

rel=[]
rel=pd.DataFrame(df_rel)
rel['İller'] = iller

d=df.iloc[:,[1]] #I want to add these values to the center of blue bars.
f=df.iloc[:,[2]] #I want to add these values to the center of green bars.

sns.set_theme (style='whitegrid')

ax=rel.plot(x='İller',kind='bar', stacked=True, color=["#3a88e2","#5c9e1e"], label=("Uygun","Uygun Değil"))

plt.legend(["Evet","Hayır"],fontsize=8, bbox_to_anchor=(1, 0.5))

plt.xlabel('...........',fontsize=12)
plt.ylabel('..........',fontsize=12)
plt.title('.............',loc='center',fontsize=14)
plt.ylim(0,100)
ax.yaxis.grid(color='gray', linestyle='dashed')

plt.show()

I have this for now:

I want the exact same style of this photo:

I am using Anaconda-Jupyter Notebook.

CodePudding user response：

I don't think any subtle method exist. So you have to print those yourself, adding explicitly text. Which is not that hard to do. For example, if you add this just after your plot

for i in range(len(d)):
    ax.text(i, df_rel.iloc[i,0]/2, d.iloc[i,0], ha='center', fontweight='bold', color='#ffff00', fontsize='small')
    ax.text(i, 50 df_rel.iloc[i,0]/2, f.iloc[i,0], ha='center', fontweight='bold', color='#400040', fontsize='small')

you get this result

You can of course change color, size, position, etc. (I am well known for by total lack of bon goût for those matter). But also decide some arbitrary rule, such as not printing '0' (that the advantage of doing things explicitly: your code, your rule; you don't have to fight an existing API to convince it to do it your way).

CodePudding user response：

• Answering: I want to add values (non percentage values) to the centers of each bar but from my first dataframe.
• The correct way to annotate bars, is with

  Alternate Annotation Implementation

  • Since the order of df and per are the same, the column names can be extracted directly from per

  # iterate through the containers and per column names
  for c, col in zip(ax.containers, per):
      
      # add the annotations with custom labels from df
      ax.bar_label(c, labels=df[col].replace(0, ''), label_type='center', fontweight='bold')