How do I build a bar chart based on counting the unique values in a column?

I want to build a bar chart (Bar chart) based on counting the unique values in the column:

count
3
2
3
1
3
1
3
2
5
3
4
3
3
3
4
3

I understand that: 

a = pd.unique(df['count']).tolist()

Gives a list of unique values, and: 

b = df['count'].value_counts()

Gives a unique value - the frequency of its "occurrence" in the list.

How can this b be used to make exactly a list of "meetings", so that you can build a diagram: 

bars = plt.bar(a, b)
Author: 0xdb, 2020-08-26
Source

2 answers

The easiest way to do this is to use the ready-made library function Seaborn:

import seaborn as sns

sns.countplot(df['count'])

You can also use a clean matplotlib, but it will not look so nice:

b = df['count'].value_counts()
plt.bar(b.index, b.values)
 6
Author: CrazyElf, 2020-08-26 08:08:24

Alternative option:

df["count"].value_counts().plot.bar(rot=0, grid=True)

enter a description of the image here

PS but the solution suggested by @CrazyElf looks shorter and the result is prettier:

sns.countplot(df['count'])

enter a description of the image here

 5
Author: MaxU, 2020-08-26 10:44:43