show values on bars in bar charts

Question

I have dataframe with column(C_NC) containing two values namely C and NC. I plotted frequency of C and NC values with

df['C_NC'].value_counts().plot(kind='bar')

Though this graph is nice, I also want to have exact frequency number on each bar in bar chart. I am quite new to Data visualization with Pandas Dataframe. Is there a way to do this with pandas dataframe?

Answer 1

Use:

s=df['C_NC'].value_counts()
s.plot(kind='bar',yticks=s)

Example

as you can see here is the same problem:

import numpy as np
import matplotlib.pyplot as plt
s1=pd.Series(np.random.randint(0,2,300))
s=s1.value_counts()
print(s)


1    156
0    144
dtype: int64

---

s1.value_counts().plot(kind='bar')

---

we can now show the exact values

s.plot(kind='bar',yticks=s)