AI/ML Dataframe count specific values in dataframe column

#below gives values counts on the name column. If there are many empties in the column, then it gives that count

print(data['name'].value_counts())

Below are some variants. 

data['marks'].value_counts(ascending=False)

data['age'].describe()

Group by gives values in a column group by

data.groupby('subjects').size()

Group by count works like this below 

print(data.groupby('name').count())

If we want to put into Bins

data['age'].value_counts(bins=6)

references:

https://www.geeksforgeeks.org/how-to-count-occurrences-of-specific-value-in-pandas-column/#:~:text=We%20can%20count%20by%20using,values%20in%20a%20particular%20column.