What is a value_counts() method?

value_counts () returns a series of the number of times each unique non-null value appears, sorted from most to least frequent. Note that a dataframe has the count () method, which returns a series of the count () (scalar) value for each column in the df. However, a dataframe has no value_counts () method.

What is the difference between id value count and value_counts?

Id Value count () returns the total number of non-null values in the series. value_counts () returns a series of the number of times each unique non-null value appears, sorted from most to least frequent. Note that a dataframe has the count () method, which returns a series of the count () (scalar) value for each column in the df.

What is value_counts in Python?

Essentially, value_counts counts the unique values of a Pandas object. We often use this technique to do data wrangling and data exploration in Python. The value_counts method will actually work on several different types of Pandas objects: dataframe columns (which are actually Pandas Series objects)

How to use value_counts on a Dataframe?

First, let’s look at the syntax for how to use value_counts on a dataframe. This is really simple. You just type the name of the dataframe then .value_counts (). When you use value_counts on a dataframe, it will count the number of records for every combination of unique values for every column.